Feng Lin
Impact in
- Nephrology top 0.5%
- Chronic Kidney Disease and Diabetes
- Dialysis and Renal Disease Management
-
- Blood Pressure and Hypertension Studies
- Heart Failure Treatment and Management
- Cardiovascular Function and Risk Factors
Papers in
-
- Renal Transplantation Outcomes and Treatments 14
- Nephrology 20
- Chronic Kidney Disease and Diabetes 11
- Dialysis and Renal Disease Management 10
- Co-authors
- Eric VittinghoffMichael G. ShlipakDeborah GradyChi‐yuan HsuStephen B. HulleyKirsten Bibbins‐DomingoMark J. PletcherDavid M. Herrington
- Journals
- Obstetrics and Gynecology (10 papers)Annals of Internal Medicine (7 papers)BMJ Open (6 papers)JAMA Network Open (4 papers)Circulation (4 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Feng Lin
164 papers receiving 6.8k citations
Hit Papers
Peers
Comparison fields: 5 of 161
- Nephrology 1.2k
- Cardiology and Cardiovascular Medicine 1.8k
- Endocrinology, Diabetes and Metabolism 1.3k
- Transplantation 173
- Reproductive Medicine 335
Countries citing papers authored by Feng Lin
This map shows the geographic impact of Feng Lin'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 Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Lin more than expected).
Fields of papers citing papers by Feng Lin
This network shows the impact of papers produced by Feng Lin. 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 Lin. The network helps show where Feng Lin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Feng Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 3 | |
| 3 | 2023 | 0 | |
| 4 | 2023 | 5 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 16 | |
| 7 | 2023 | 9 | |
| 8 | 2023 | 2 | |
| 9 | 2022 | 5 | |
| 10 | 2022 | 15 | |
| 11 | 2020 | 8 | |
| 12 | 2019 | 13 | |
| 13 | 2017 | 50 | |
| 14 | 2016 | 1 | |
| 15 | 2015 | 21 | |
| 16 | 2014 | 4 | |
| 17 | 2013 | 84 | |
| 18 | 2011 | 4 | |
| 19 | 2009 | 79 | |
| 20 | 2002 | 25 |
About Feng Lin
Feng Lin is a scholar working on Transplantation, Nephrology, Cardiology and Cardiovascular Medicine, Obstetrics and Gynecology and Endocrinology, Diabetes and Metabolism, having authored 173 papers that have together received 7.1k indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (14 papers), Menopause: Health Impacts and Treatments (14 papers), Blood Pressure and Hypertension Studies (12 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (12 papers), Estrogen and related hormone effects (11 papers), Chronic Kidney Disease and Diabetes (11 papers), Dialysis and Renal Disease Management (10 papers) and Heart Failure Treatment and Management (10 papers). The work is most often cited by research in Nephrology (1.2k citations), Cardiology and Cardiovascular Medicine (1.8k citations), Endocrinology, Diabetes and Metabolism (1.3k citations), Transplantation (173 citations) and Reproductive Medicine (335 citations). Feng Lin has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Eric Vittinghoff, Michael G. Shlipak, Deborah Grady, Chi‐yuan Hsu, Stephen B. Hulley, Kirsten Bibbins‐Domingo, Mark J. Pletcher, David M. Herrington, Alka M. Kanaya and Vera Bittner. Their work appears in journals such as Obstetrics and Gynecology, Annals of Internal Medicine, BMJ Open, JAMA Network Open and Circulation.
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.