Ran Yan

559 citations
8 papers · 389 · h-index 6

Impact in

    • Cancer Cells and Metastasis
    • Cancer Immunotherapy and Biomarkers
    • Pancreatic and Hepatic Oncology Research
    • Immune cells in cancer
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction

Papers in

    • Pancreatic and Hepatic Oncology Research 2
    • Cancer Immunotherapy and Biomarkers 2
    • CAR-T cell therapy research 2
    • Immunotherapy and Immune Responses 2
    • Phagocytosis and Immune Regulation 2
    • Immune Cell Function and Interaction 2

Ran Yan

8 papers receiving 387 citations

Peers

Ran Yan
Comparison fields: 5 of 50
  • Oncology 162
  • Immunology 124
  • Cancer Research 61
  • Cell Biology 69
  • Biotechnology 18
Replace Naishitha Anaparthy with:
Naishitha Anaparthy United States
Yujiro Naito Japan
Zakiya Kelley United States
Jenny L. Weon United States
Mireia Vallespinós Spain
Selvi Ramasamy United States
Gabrielle E. Ciotti United States
Wietske Pieters Netherlands
Emily R. Kansler United States
Marta Requesens Netherlands
Ran Yan relative to Naishitha Anaparthy United States Naishitha Anaparthy's profile →
Citations per field
00.5×1.5×2.5×
Naishitha Anaparthy · 1×
Citations per year

Countries citing papers authored by Ran Yan

Since Specialization
Citations

This map shows the geographic impact of Ran Yan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ran Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ran Yan more than expected).

Fields of papers citing papers by Ran Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ran Yan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ran Yan. The network helps show where Ran Yan may publish in the future.

Co-authors

The 25 scholars most cited alongside Ran Yan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ran Yan Line = papers co-authored together Ran Yan links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2018203
2 201550
3 202249
4 202047
5 201825
6 202312
7 20202
8 20201

About Ran Yan

Ran Yan is a scholar working on Oncology, Immunology, Molecular Biology, Genetics and Cell Biology, having authored 8 papers that have together received 389 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (2 papers), Immunotherapy and Immune Responses (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Phagocytosis and Immune Regulation (2 papers), Immune Cell Function and Interaction (2 papers), CAR-T cell therapy research (2 papers), Epigenetics and DNA Methylation (1 paper) and Endoplasmic Reticulum Stress and Disease (1 paper). The work is most often cited by research in Oncology (162 citations), Immunology (124 citations), Cancer Research (61 citations), Cell Biology (69 citations) and Biotechnology (18 citations). Ran Yan has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Douglas T. Fearon, Mikala Egeblad, Arnaud Pommier, Scott K. Lyons, Cédric Auffray, Naishitha Anaparthy, Jean Albrengues, Christine A. Iacobuzio–Donahue, Zakiya Kelley and Nancy Pinnell. Their work appears in journals such as Blood, Science, The Journal of Immunology, Immunity and Cancer Immunology Research.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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