Journal of Translational Medicine

Top Research Topics at Journal of Translational Medicine?

Journal of Translational Medicine focuses on Internal medicine, Immunology, Cancer research, Pathology and Oncology. Issues in Internal medicine were discussed, taking into consideration concepts from other disciplines like Gastroenterology, Endocrinology and Cardiology. Immune system, Antigen, T cell, Immunotherapy and Inflammation are some of the study areas of Immunology discussed.

Journal of Translational Medicine addresses concerns in Cancer research which are intertwined with other disciplines, such as Immunohistochemistry, Carcinogenesis, Cancer, Metastasis and Cell growth.

• Internal medicine (27.40%)
• Immunology (22.55%)
• Cancer research (19.22%)

What are the most cited papers published in the journal?

• Influence of diet on the gut microbiome and implications for human health. (821 citations)
• Inflammatory mechanisms in ischemic stroke: therapeutic approaches (769 citations)
• Vaccination of metastatic melanoma patients with autologous dendritic cell (DC) derived-exosomes: results of thefirst phase I clinical trial (757 citations)

Research areas of the most cited articles at Journal of Translational Medicine:

The published papers generally zeroe in on subjects such as Immunology, Internal medicine, Cancer research, Pathology and Cancer. The journal papers facilitate discussions on Internal medicine that incorporate concepts from other fields like Gastroenterology, Endocrinology and Oncology. While the journal papers focused on Cancer research, they were also able to explore topics like Cancer cell, microRNA, Metastasis and Cell growth.

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

• Internal medicine
• Gene
• Cancer

The previous edition focused in particular on these issues:

Journal of Translational Medicine mainly deals with areas of study such as Internal medicine, Cancer research, Cancer, Oncology and Immune system. While work presented in the journal provided substantial information on Internal medicine, it also covered topics in Gastroenterology and Endocrinology. Metastasis, Downregulation and upregulation, Gene and Cell growth are some topics wherein Cancer research research discussed in Journal of Translational Medicine have an impact.

The in-depth study on Gene also explores topics in the intersecting field of Computational biology. Cancer research discussed connects with the study of Lung cancer. The study of Immune system, which falls within the realm of Immunology, was the main focus of the presentations.

The most cited articles from the last journal are:

• Application of stem cell-derived exosomes in ischemic diseases: opportunity and limitations. (12 citations)
• One-tube SARS-CoV-2 detection platform based on RT-RPA and CRISPR/Cas12a. (12 citations)
• Development and validation of a prognostic COVID-19 severity assessment (COSA) score and machine learning models for patient triage at a tertiary hospital. (12 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.

Top authors and change over time

The top authors publishing in Journal of Translational Medicine (based on the number of publications) are:

• Paolo A. Ascierto (94 papers) published 11 papers at the last edition, 3 more than at the previous edition,
• Francesco M. Marincola (90 papers) published 1 paper at the last edition the same number as at the previous edition,
• Ena Wang (53 papers) absent at the last edition,
• David F. Stroncek (49 papers) absent at the last edition,
• Thomas E. Ichim (44 papers) absent at the last 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.

Top affiliations and change over time

Only papers with recognized affiliations are considered

The top affiliations publishing in Journal of Translational Medicine (based on the number of publications) are:

• National Institutes of Health (217 papers) published 2 papers at the last edition, 6 less than at the previous edition,
• Sun Yat-sen University (164 papers) published 14 papers at the last edition, 4 more than at the previous edition,
• Fudan University (139 papers) published 17 papers at the last edition, 5 more than at the previous edition,
• Shanghai Jiao Tong University (131 papers) published 18 papers at the last edition, 4 more than at the previous edition,
• University of Milan (85 papers) published 4 papers at the last edition, 5 less 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, 5.15% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 20.74% were posted by at least one author from the top 10 institutions publishing in the journal. Another 9.38% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 22.72% of all publications and 47.16% 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.

How to Get Involved in Translational Medicine Research

If you are a medical professional interested in getting involved in translational medicine research, the first step is getting the required credentials. For medical professionals such as nurses, getting licensed is a critical step. For instance, if you are situated in Indiana, you would need to familiarize yourself with the indiana nursing license requirements board of nursing requirements, which is the body in charge of licensing. Getting licensed not only boosts your credibility, but it also allows you to undertake clinical studies, a significant part of translational medicine research.

Next, you would need to identify a research area of interest. From the discussions in the Journal of Translational Medicine, key research areas include Internal Medicine, Immunology, and Cancer Research. Having a specific research interest allows for focused studies and can also contribute to advanced specialization in the future.

Afterwards, you can begin to seek out partnerships and collaboration opportunities with institutions known for research in your area of interest. Collaboration with experts in the field not only provides a rich learning opportunity, but it also significantly boosts the impact and wide-spread applicability of the research findings.

Lastly, participating in seminars, workshops, and relevant conferences cannot be overstated. These platforms not only broaden your knowledge but also provide an opportunity to network with other like-minded professionals in the field.

Embarking on a career in translational medicine research is an exciting journey that can significantly contribute to enhancing patient care and overall public health.