J. Lin
Impact in
-
- Cancer, Lipids, and Metabolism
-
- Diabetes, Cardiovascular Risks, and Lipoproteins
Papers in
- Co-authors
- Arvind Shah (8 shared papers)Amy O. Johnson‐Levonas (3 shared papers)Andrew M. Tershakovec (5 shared papers)Philippe Brudi (2 shared papers)Lawrence A. Leiter (3 shared papers)John R. Guyton (2 shared papers)Mary E. Hanson (4 shared papers)D. J. Betteridge (1 shared paper)
- Journals
- Annals of Oncology (5 papers)International Journal of Clinical Practice (4 papers)Diabetes Obesity and Metabolism (3 papers)Journal of Thoracic Oncology (1 paper)Oral Oncology (1 paper)
- Partner nations
- United StatesCanadaItaly
In The Last Decade
J. Lin
18 papers receiving 276 citations
Peers
Comparison fields: 5 of 50
- Cancer Research 70
- Endocrinology, Diabetes and Metabolism 74
- Surgery 174
- Oncology 94
- Pulmonary and Respiratory Medicine 74
Countries citing papers authored by J. Lin
This map shows the geographic impact of J. 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 J. Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Lin more than expected).
Fields of papers citing papers by J. Lin
This network shows the impact of papers produced by J. 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 J. Lin. The network helps show where J. Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside J. 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 | 2011 | 56 | |
| 2 | 2008 | 47 | |
| 3 | 2015 | 32 | |
| 4 | 2009 | 29 | |
| 5 | 2019 | 23 | |
| 6 | 2019 | 21 | |
| 7 | 2021 | 20 | |
| 8 | 2010 | 14 | |
| 9 | 2012 | 10 | |
| 10 | 2007 | 9 | |
| 11 | 2023 | 7 | |
| 12 | 2020 | 4 | |
| 13 | 2010 | 4 | |
| 14 | 2023 | 3 | |
| 15 | 2024 | 3 | |
| 16 | 2024 | 2 | |
| 17 | 2023 | 1 | |
| 18 | 2021 | 1 |
About J. Lin
J. Lin is a scholar working on Surgery, Oncology, Pulmonary and Respiratory Medicine, Economics and Econometrics and Cancer Research, having authored 18 papers that have together received 286 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (7 papers), Cancer Immunotherapy and Biomarkers (6 papers), Lung Cancer Treatments and Mutations (4 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), Pharmaceutical Economics and Policy (3 papers), Cancer Genomics and Diagnostics (2 papers), Computational Drug Discovery Methods (2 papers) and Diabetes Treatment and Management (2 papers). The work is most often cited by research in Cancer Research (70 citations), Endocrinology, Diabetes and Metabolism (74 citations), Surgery (174 citations), Oncology (94 citations) and Pulmonary and Respiratory Medicine (74 citations). J. Lin has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include Arvind Shah, Amy O. Johnson‐Levonas, Andrew M. Tershakovec, Philippe Brudi, Lawrence A. Leiter, John R. Guyton, Mary E. Hanson, D. J. Betteridge, Michel Farnier and Joanne E. Tomassini. Their work appears in journals such as Annals of Oncology, International Journal of Clinical Practice, Diabetes Obesity and Metabolism, Journal of Thoracic Oncology and Oral Oncology.
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.