World's Best Scientists 2026 revealed!
OncoTargets and Therapy
H-index 25

OncoTargets and Therapy

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Medicine 1543 73 71 16

Additional Metrics

Number of Best Scientists*: 263
Documents by Best Scientists*: 276
Top 100 Ranked Scientists*: 6
SCIMAGO H-index: 94
SCIMAGO SJR: 0.818
Impact Factor: 2.8

Overview

Top Research Topics at OncoTargets and Therapy?

The journal mostly deals with topics like Cancer research, Internal medicine, Oncology, Cell growth and Cancer. The research on Cancer research tackled can also make contributions to studies in the areas of Cell culture, Apoptosis, Gene knockdown, Downregulation and upregulation and Metastasis. Topics in Apoptosis explored in the journal were investigated in conjunction with research in Flow cytometry and In vivo.

Most of the works presented in OncoTargets and Therapy deals with Metastasis but it intersects with the subject of Immunohistochemistry. OncoTargets and Therapy focuses on Internal medicine research which is adjacent to topics in Gastroenterology. OncoTargets and Therapy focuses on Oncology but the discussions also offer insight into other areas such as Odds ratio, Bioinformatics, Confidence interval, Breast cancer and Colorectal cancer.

Cell growth research presented in it encompasses a variety of subjects, including Cell migration, Cell, Cell cycle, Carcinogenesis and microRNA. Research on Cancer addressed in it frequently intersections with the field of Pathology. Lung cancer research in OncoTargets and Therapy involves the investigation of Adenocarcinoma studies, all of which are linked to disciplines such as Lung.

  • Cancer research (48.98%)
  • Internal medicine (32.92%)
  • Oncology (25.50%)

What are the most cited papers published in the journal?

  • PD-L1 expression in human cancers and its association with clinical outcomes (331 citations)
  • Computer-aided classification of lung nodules on computed tomography images via deep learning technique. (282 citations)
  • Uncovering the role of p53 splice variants in human malignancy: a clinical perspective (218 citations)

Research areas of the most cited articles at OncoTargets and Therapy:

The published papers explore disciplines such as Cancer research, Internal medicine, Cancer, Oncology and Pathology. The journal papers hold forums on Cancer research that merge themes from other disciplines such as Cell growth, Gene knockdown, Downregulation and upregulation, microRNA and Metastasis. The most cited articles focus on Oncology but the discussions also offer insight into other areas such as Clinical trial, Disease, Biomarker (medicine), Breast cancer and Pharmacology.

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 OncoTargets and Therapy (based on the number of publications) are:

  • Jinming Yu (28 papers) absent at the last edition,
  • Li Kong (16 papers) absent at the last edition,
  • Caicun Zhou (15 papers) published 1 paper at the last edition, 1 less than at the previous edition,
  • Ping Wang (15 papers) absent at the last edition,
  • Jixiang Wu (13 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.

Only papers with recognized affiliations are considered

The top affiliations publishing in OncoTargets and Therapy (based on the number of publications) are:

  • Nanjing Medical University (254 papers) published 23 papers at the last edition, 46 less than at the previous edition,
  • Fudan University (232 papers) published 14 papers at the last edition, 19 less than at the previous edition,
  • China Medical University (PRC) (214 papers) published 23 papers at the last edition, 37 less than at the previous edition,
  • Shandong University (204 papers) published 8 papers at the last edition, 24 less than at the previous edition,
  • Zhengzhou University (192 papers) published 29 papers at the last edition, 34 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, 12.42% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 37.37% were posted by at least one author from the top 10 institutions publishing in the journal. Another 15.72% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 20.10% of all publications and 26.80% 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.

Further Education Opportunities in Related Fields

In addition to the depth and richness of the studies and research in the journal, OncoTargets and Therapy, professionals and students in the field might consider complementing their knowledge with additional studies in related fields. These areas of study might include specialized nursing programs that focus on oncology and cancer research. As suggested by the research topics in the journal, a deeper understanding of these subjects fosters a more comprehensive approach to treating and managing these diseases.

Those willing to pursue further study in a formal education setup might want to check some of the best nursing schools in New Hampshire. They often offer robust programs in oncology and cancer research nursing, which could provide a wealth of practical and theoretical knowledge that would be beneficial to those workings in or researching these fields.

Recognizing the importance of continuous professional development, many of these institutions also offer flexible study times to cater to practicing professionals. Hence, it's a great way to continue to expand one's knowledge and understanding while remaining connected to the workplace.

Top Publications

  • Immunotherapy For Ovarian Cancer: Recent Advances And Combination Therapeutic Approaches

    Innocenza Palaia;Federica Tomao;Carolina Maria Sassu;Lucia Musacchio

    (2020)
    56 Citations
  • Impact of Mutational Profile on the Management of Myeloproliferative Neoplasms: A Short Review of the Emerging Data

    Giuseppe G Loscocco;Paola Guglielmelli;Alessandro M Vannucchi

    (2020)
    41 Citations
  • circHIPK3 Promotes Cell Proliferation and Migration of Gastric Cancer by Sponging miR-107 and Regulating BDNF Expression

    Juan Wei;Hanfeng Xu;Wei Wei;ZhaoJing Wang

    (2020)
    33 Citations
  • Expression of PD-1 and PD-L1 on Tumor-Infiltrating Lymphocytes Predicts Prognosis in Patients with Small-Cell Lung Cancer

    Chenglong Sun;Chenglong Sun;Liping Zhang;Wei Zhang;Yu Liu

    (2020)
    33 Citations
  • &lt;p&gt;Identification of circRNA-miRNA-mRNA Networks for Exploring the Fundamental Mechanism in Lung Adenocarcinoma&lt;/p&gt;

    (2020)
    33 Citations
  • PARP Inhibitor Applicability: Detailed Assays for Homologous Recombination Repair Pathway Components

    (2022)
    31 Citations
  • Ovarian Cancer Therapy: Homologous Recombination Deficiency as a Predictive Biomarker of Response to PARP Inhibitors

    (2022)
    26 Citations
  • Artificial Intelligence Based on Blood Biomarkers Including CTCs Predicts Outcomes in Epithelial Ovarian Cancer: A Prospective Study.

    Jun Ma;Jiani Yang;Yue Jin;Shanshan Cheng

    (2021)
    24 Citations
  • &lt;p&gt;Long Non-Coding RNA SNHG16 Activates USP22 Expression to Promote Colorectal Cancer Progression by Sponging miR-132-3p&lt;/p&gt;

    (2020)
    23 Citations
  • Licorice (Glycyrrhiza glabra L.)-Derived Phytochemicals Target Multiple Signaling Pathways to Confer Oncopreventive and Oncotherapeutic Effects

    (2022)
    22 Citations

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Best Scientists Contributing to This Journal