Heping Lin
Impact in
-
- Neurobiology and Insect Physiology Research
-
- Immune Response and Inflammation
Papers in
-
- Cancer-related molecular mechanisms research 3
- NF-κB Signaling Pathways 1
-
- Neurobiology and Insect Physiology Research 4
- Co-authors
- Claudio W. Pikielny (3 shared papers)Robert L. Modlin (1 shared paper)Genhong Cheng (1 shared paper)Ambrose L. Cheung (1 shared paper)Ryan M. O’Connell (1 shared paper)Kathleen Hirano (1 shared paper)Lloyd S. Miller (1 shared paper)Shyam S. D. Rao (1 shared paper)
- Journals
- Communications Biology (1 paper)BMC Cancer (1 paper)Current Biology (1 paper)Journal of Cellular Biochemistry (1 paper)Liver International (1 paper)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Heping Lin
15 papers receiving 616 citations
Peers
Comparison fields: 5 of 71
- Cellular and Molecular Neuroscience 100
- Immunology 87
- Cancer Research 56
- Infectious Diseases 74
- Sensory Systems 17
Countries citing papers authored by Heping Lin
This map shows the geographic impact of Heping 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 Heping Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heping Lin more than expected).
Fields of papers citing papers by Heping Lin
This network shows the impact of papers produced by Heping 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 Heping Lin. The network helps show where Heping Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Heping 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 | 2007 | 286 | |
| 2 | 2012 | 79 | |
| 3 | 2005 | 69 | |
| 4 | 2006 | 38 | |
| 5 | 2008 | 31 | |
| 6 | 2018 | 21 | |
| 7 | 2024 | 21 | |
| 8 | 2019 | 19 | |
| 9 | 2018 | 14 | |
| 10 | 2021 | 13 | |
| 11 | 2021 | 12 | |
| 12 | 2009 | 10 | |
| 13 | 2021 | 6 | |
| 14 | 2005 | 3 | |
| 15 | 1994 | 1 | |
| 16 | 2019 | 0 |
About Heping Lin
Heping Lin is a scholar working on Cancer Research, Cellular and Molecular Neuroscience, Hepatology, Microbiology and Structural Biology, having authored 16 papers that have together received 623 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (4 papers), Cancer-related molecular mechanisms research (3 papers), Inflammasome and immune disorders (1 paper), Gastrointestinal motility and disorders (1 paper), Lipid metabolism and disorders (1 paper), Actinomycetales infections and treatment (1 paper), NF-κB Signaling Pathways (1 paper) and Nanoplatforms for cancer theranostics (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (100 citations), Immunology (87 citations), Cancer Research (56 citations), Infectious Diseases (74 citations) and Sensory Systems (17 citations). Heping Lin has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Claudio W. Pikielny, Robert L. Modlin, Genhong Cheng, Ambrose L. Cheung, Ryan M. O’Connell, Kathleen Hirano, Lloyd S. Miller, Shyam S. D. Rao, Yoichiro Iwakura and Lawrence H. Uricchio. Their work appears in journals such as Communications Biology, BMC Cancer, Current Biology, Journal of Cellular Biochemistry and Liver International.
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.