Yan Geng
- Molecular Biology top 5%
- Oncology top 5%
- Cancer Research top 5%
- Immunology top 10%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Piotr SicińskiQunyan YuRoderick T. BronsonLynda K. McGinnisJohn J. EppigJohn D. BiggersJoAnne S. RichardsRobert A. Weinberg
- Topics
- Rheumatoid Arthritis Research and Therapies (13 papers)Cancer-related Molecular Pathways (7 papers)Autoimmune and Inflammatory Disorders Research (5 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Yan Geng
58 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Molecular Biology 1.7k
- Oncology 939
- Cancer Research 544
- Immunology 367
- Pulmonary and Respiratory Medicine 265
Countries citing papers authored by Yan Geng
This map shows the geographic impact of Yan Geng'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 Yan Geng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Geng more than expected).
Fields of papers citing papers by Yan Geng
This network shows the impact of papers produced by Yan Geng. 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 Yan Geng. The network helps show where Yan Geng may publish in the future.
Co-authorship network of co-authors of Yan Geng
This figure shows the co-authorship network connecting the top 25 collaborators of Yan Geng. A scholar is included among the top collaborators of Yan Geng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yan Geng. Yan Geng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | Association Between Blood PLT and RBC Related Indices and Disease Activity in Patients with Rheumatoid Arthritis | 12 |
| 4 | 13 | |
| 5 | 6 | |
| 6 | 6 | |
| 7 | 19 | |
| 8 | 12 | |
| 9 | 18 | |
| 10 | 17 | |
| 11 | 6 | |
| 12 | Isolation and characterization of exosomes for cancer researchbreakdown → | 376 |
| 13 | 10 | |
| 14 | 20 | |
| 15 | 18 | |
| 16 | 5 | |
| 17 | 21 | |
| 18 | 9 | |
| 19 | 2 | |
| 20 | Cyclin D2 is an FSH-responsive gene involved in gonadal cell proliferation and oncogenesisbreakdown → | 593 |
About Yan Geng
Yan Geng is a scholar working on Rheumatology, Hematology and Immunology, having authored 60 papers that have together received 2.9k indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (13 papers), Cancer-related Molecular Pathways (7 papers) and Autoimmune and Inflammatory Disorders Research (5 papers). The work is most often cited by research in Cancer Research (544 citations), Oncology (939 citations) and Molecular Biology (1.7k citations). Yan Geng has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Piotr Siciński, Qunyan Yu, Roderick T. Bronson, Lynda K. McGinnis, John J. Eppig, John D. Biggers, JoAnne S. Richards, Robert A. Weinberg, Susan B. Parker and Humphrey Gardner. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.
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.