Feng Jin
Impact in
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
- Pharmacology top 5%
Papers in
- Genetics 15
- Chronic Lymphocytic Leukemia Research 15
-
- PI3K/AKT/mTOR signaling in cancer 5
- Co-authors
- Joseph P. Balthasar (2 shared papers)Saileta Prabhu (1 shared paper)Rong Deng (1 shared paper)Suhasini Iyer (1 shared paper)Srini Ramanathan (12 shared papers)Debao Liu (3 shared papers)Minfang Chen (2 shared papers)Huafeng Zhou (10 shared papers)
- Journals
- Blood (6 papers)Journal of Clinical Oncology (4 papers)Cancer Research (3 papers)Materials Science and Technology (2 papers)International Immunopharmacology (2 papers)
- Partner nations
- ChinaUnited StatesGhana
In The Last Decade
Feng Jin
56 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 95
- Genetics 172
- Pharmacology 99
- Biomaterials 145
- Immunology 205
- Hematology 105
Countries citing papers authored by Feng Jin
This map shows the geographic impact of Feng Jin'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 Feng Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Jin more than expected).
Fields of papers citing papers by Feng Jin
This network shows the impact of papers produced by Feng Jin. 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 Feng Jin. The network helps show where Feng Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Feng Jin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 101 | |
| 2 | 2009 | 92 | |
| 3 | 2017 | 76 | |
| 4 | 2015 | 63 | |
| 5 | 2017 | 61 | |
| 6 | 2016 | 57 | |
| 7 | 2010 | 53 | |
| 8 | 2005 | 53 | |
| 9 | Immunohistochemical detection of STAT6, CD34, CD99 and BCL-2 for diagnosing solitary fibrous tumors/hemangiopericytomas. | 2015 | 49 |
| 10 | 2015 | 42 | |
| 11 | 2004 | 34 | |
| 12 | 2018 | 33 | |
| 13 | 2020 | 30 | |
| 14 | 2017 | 23 | |
| 15 | 2013 | 23 | |
| 16 | 2019 | 21 | |
| 17 | 2016 | 19 | |
| 18 | 2021 | 18 | |
| 19 | 2014 | 12 | |
| 20 | 2023 | 10 |
About Feng Jin
Feng Jin is a scholar working on Genetics, Molecular Biology, Immunology, Pathology and Forensic Medicine and Oncology, having authored 58 papers that have together received 1.0k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (15 papers), Lymphoma Diagnosis and Treatment (5 papers), Magnesium Alloys: Properties and Applications (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), PI3K/AKT/mTOR signaling in cancer (5 papers), Chronic Myeloid Leukemia Treatments (5 papers), Acute Lymphoblastic Leukemia research (4 papers) and Immunodeficiency and Autoimmune Disorders (4 papers). The work is most often cited by research in Genetics (172 citations), Pharmacology (99 citations), Biomaterials (145 citations), Immunology (205 citations) and Hematology (105 citations). Feng Jin has collaborated with scholars based in China, United States and Ghana. Frequent co-authors include Joseph P. Balthasar, Saileta Prabhu, Rong Deng, Suhasini Iyer, Srini Ramanathan, Debao Liu, Minfang Chen, Huafeng Zhou, Brian P. Kearney and Wojciech Krzyżański. Their work appears in journals such as Blood, Journal of Clinical Oncology, Cancer Research, Materials Science and Technology and International Immunopharmacology.
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.