World's Best Scientists 2026 revealed!
Clinical and Translational Medicine
H-index 44

Clinical and Translational Medicine

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Medicine 536 306 270 33

Additional Metrics

Number of Best Scientists*: 884
Documents by Best Scientists*: 733
Top 100 Ranked Scientists*: 25
SCIMAGO H-index: 24
SCIMAGO SJR: 3.03
Impact Factor: 6.8

Overview

Top Research Topics at Clinical and translational medicine?

The journal focuses largely on the fields of Cancer research, Internal medicine, Cancer, Bioinformatics and Oncology. Cancer research research featured in it incorporates concerns from various other topics such as Text mining, Cell, Metastasis and Immune system. Research in Immune system tackled falls within the umbrella of Immunology.

While Clinical and translational medicine focused on Internal medicine, it was also able to explore topics like Gastroenterology, Endocrinology and MEDLINE. Discussions in Clinical and translational medicine are anchored in the subject of Cancer and the similar topic of Pathology. Clinical and translational medicine focuses on Bioinformatics research which is adjacent to topics in Disease.

  • Cancer research (29.66%)
  • Internal medicine (19.27%)
  • Cancer (12.27%)

What are the most cited papers published in the journal?

  • Mechanisms of chemoresistance in cancer stem cells (498 citations)
  • EMT and tumor metastasis. (418 citations)
  • Cancer nanomedicine: a review of recent success in drug delivery (402 citations)

Research areas of the most cited articles at Clinical and translational medicine:

The most cited publications mainly deal with areas of study such as Cancer, Pathology, Cancer research, Bioinformatics and Cell biology. The published articles hold forums on Cancer that merge themes from other disciplines such as Programmed cell death and Drug delivery. While the journal papers focused on Cancer research, they were also able to explore topics like Metastasis, Signal transduction, Mesenchymal stem cell and Immune system.

What topics the last edition of the journal is best known for?

  • Gene
  • Internal medicine
  • Cancer

The previous edition focused in particular on these issues:

The journal is organized to address concerns in the fields of Cancer research, Internal medicine, Text mining, Oncology and MEDLINE. The Cancer research works featured in the journal incorporate elements from Cancer, Metastasis, Downregulation and upregulation and In vivo. The Internal medicine study featured in it draws parallels with the field of Endocrinology.

The journal focused on Oncology research but expanded to cover Biomarker (medicine). MEDLINE study tackled is connected to the field of Bioinformatics. Research on Tumor microenvironment presented in it concerns the broader topic of Immune system.

The most cited articles from the last journal are:

  • Evaluation of the safety and efficacy of using human menstrual blood‐derived mesenchymal stromal cells in treating severe and critically ill COVID‐19 patients: An exploratory clinical trial (12 citations)
  • Time course of endothelial dysfunction markers and mortality in COVID-19 patients: A pilot study. (8 citations)
  • FTO modifies the m6A level of MALAT and promotes bladder cancer progression (8 citations)

Papers citation over time

A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

The top authors publishing in Clinical and translational medicine (based on the number of publications) are:

  • Xiangdong Wang (35 papers) published 7 papers at the last edition, 5 less than at the previous edition,
  • György Marko-Varga (19 papers) published 4 papers at the last edition, 3 more than at the previous edition,
  • Thomas E. Fehniger (10 papers) absent at the last edition,
  • Johan Malm (9 papers) published 3 papers at the last edition, 2 more than at the previous edition,
  • Jia Fan (9 papers) published 5 papers at the last edition, 1 more than at the previous edition.

The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.

Only papers with recognized affiliations are considered

The top affiliations publishing in Clinical and translational medicine (based on the number of publications) are:

  • Fudan University (101 papers) published 39 papers at the last edition, 4 less than at the previous edition,
  • Sun Yat-sen University (51 papers) published 22 papers at the last edition, 7 less than at the previous edition,
  • Shanghai Jiao Tong University (44 papers) published 29 papers at the last edition, 14 more than at the previous edition,
  • Huazhong University of Science and Technology (34 papers) published 14 papers at the last edition, 6 less than at the previous edition,
  • Peking Union Medical College (31 papers) published 17 papers at the last edition, 4 more than at the previous edition.

The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2021 edition, 1.10% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 49.07% were posted by at least one author from the top 10 institutions publishing in the journal. Another 11.90% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 14.87% of all publications and 24.16% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

  • Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
  • Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
  • Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
  • Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
  • Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Career Opportunities in Field of Clinical and Translational Medicine

There is a wide array of career opportunities for those interested in the field of clinical and translational medicine. Medical researchers, bioinformatics scientists, oncologists, internal medicine specialists, and many other professionals contribute to the exploratory and innovative research carried out in this field. These professionals often find employment in healthcare institutions, research laboratories, universities, and pharmaceutical companies. However, qualifications and licensing requirements can vary significantly depending on your professional goals and geographic location. For instance, nurses intending to contribute to clinical research in the state of Tennessee would need to adhere to specific guidelines and fulfill certain requirements. The exact tennessee nursing license requirements can provide a pathway to forging a career in this exciting and ever-evolving field of clinical and translational medicine. Furthermore, sustaining a career in this field demands an ongoing commitment to learning and professional development. As our understanding of diseases like cancer continues to evolve, so does the demand for highly trained and knowledgeable professionals who can contribute to existing research, conduct independent studies, and/or care for patients in a clinical setting. Having a solid foundation in the field, coupled with a thirst for knowledge, can pave the way for a fruitful career in clinical and translational medicine.

Top Publications

  • The potential impact of ChatGPT in clinical and translational medicine

    (2023)
    150 Citations
  • COVID-19 critical illness pathophysiology driven by diffuse pulmonary thrombi and pulmonary endothelial dysfunction responsive to thrombolysis.

    Hooman D. Poor;Corey E. Ventetuolo;Thomas Tolbert;Glen Chun

    (2020)
    121 Citations
  • Evaluation of the safety and efficacy of using human menstrual blood‐derived mesenchymal stromal cells in treating severe and critically ill COVID‐19 patients: An exploratory clinical trial

    Xiaowei Xu;Wanli Jiang;Lijun Chen;Zhenyu Xu

    (2021)
    103 Citations
  • MUC4, MUC16, and TTN genes mutation correlated with prognosis, and predicted tumor mutation burden and immunotherapy efficacy in gastric cancer and pan-cancer

    Yue Yang;Jieyun Zhang;Yanxing Chen;Ruihua Xu

    (2020)
    93 Citations
  • EASY‐APP: An artificial intelligence model and application for early and easy prediction of severity in acute pancreatitis

    (2022)
    87 Citations
  • Loss of m6A demethylase ALKBH5 promotes post-ischemic angiogenesis via post-transcriptional stabilization of WNT5A.

    Yongchao Zhao;Jingjing Hu;Xiaolei Sun;Kun Yang

    (2021)
    84 Citations
  • Modulation of gut microbiota mediates berberine‐induced expansion of immuno‐suppressive cells to against alcoholic liver disease

    (2020)
    81 Citations
  • Keeping an eye on circadian time in clinical research and medicine

    (2022)
    71 Citations
  • Multi‐omics consensus ensemble refines the classification of muscle‐invasive bladder cancer with stratified prognosis, tumour microenvironment and distinct sensitivity to frontline therapies

    (2021)
    64 Citations
  • CD13 promotes hepatocellular carcinogenesis and sorafenib resistance by activating HDAC5-LSD1-NF-κB oncogenic signaling.

    Bo Hu;Bo Hu;Yang Xu;Yang Xu;Yuan-Cheng Li;Yuan-Cheng Li;Jun-Feng Huang

    (2020)
    62 Citations

Related Online Degrees & Career Pathways

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