Long Jin
Impact in
-
- Regulation of Appetite and Obesity
- Sensory Systems top 5%
- Hearing, Cochlea, Tinnitus, Genetics
Papers in
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- Epigenetics and DNA Methylation 3
- Circular RNAs in diseases 3
- RNA modifications and cancer 3
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- Pituitary Gland Disorders and Treatments 3
- Co-authors
- Ricardo V. Lloyd (16 shared papers)Shuya Zhang (11 shared papers)Elzbieta Kulig (2 shared papers)R. Yoshiyuki Osamura (1 shared paper)Bartolomé Burguera (1 shared paper)Marta Couce (1 shared paper)Bernd W. Scheithauer (7 shared papers)Katharina H. Ruebel (5 shared papers)
- Journals
- Endocrine Pathology (6 papers)American Journal Of Pathology (3 papers)Scientific Reports (1 paper)Endocrinology (1 paper)The American Journal of Surgical Pathology (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Long Jin
26 papers receiving 844 citations
Peers
Comparison fields: 5 of 90
- Endocrine and Autonomic Systems 186
- Sensory Systems 95
- Endocrinology, Diabetes and Metabolism 226
- Cancer Research 193
- Nutrition and Dietetics 116
Countries citing papers authored by Long Jin
This map shows the geographic impact of Long 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 Long Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Long Jin more than expected).
Fields of papers citing papers by Long Jin
This network shows the impact of papers produced by Long 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 Long Jin. The network helps show where Long Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Long 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 208 | |
| 2 | 1999 | 128 | |
| 3 | 2017 | 80 | |
| 4 | 2010 | 66 | |
| 5 | 2017 | 65 | |
| 6 | 2004 | 54 | |
| 7 | 1999 | 31 | |
| 8 | 1997 | 28 | |
| 9 | 2004 | 24 | |
| 10 | 2001 | 24 | |
| 11 | 2010 | 20 | |
| 12 | 2004 | 19 | |
| 13 | 2001 | 17 | |
| 14 | 2008 | 15 | |
| 15 | 2007 | 14 | |
| 16 | 2010 | 14 | |
| 17 | 2002 | 12 | |
| 18 | 2009 | 11 | |
| 19 | 2018 | 10 | |
| 20 | 2000 | 6 |
About Long Jin
Long Jin is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Oncology, Cancer Research and Mechanical Engineering, having authored 27 papers that have together received 860 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (3 papers), Epigenetics and DNA Methylation (3 papers), Cancer-related molecular mechanisms research (3 papers), Circular RNAs in diseases (3 papers), Pituitary Gland Disorders and Treatments (3 papers), Cancer-related Molecular Pathways (3 papers), RNA modifications and cancer (3 papers) and Microstructure and Mechanical Properties of Steels (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (186 citations), Sensory Systems (95 citations), Endocrinology, Diabetes and Metabolism (226 citations), Cancer Research (193 citations) and Nutrition and Dietetics (116 citations). Long Jin has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Ricardo V. Lloyd, Shuya Zhang, Elzbieta Kulig, R. Yoshiyuki Osamura, Bartolomé Burguera, Marta Couce, Bernd W. Scheithauer, Katharina H. Ruebel, Kálmán Kovács and Sergio Vidal. Their work appears in journals such as Endocrine Pathology, American Journal Of Pathology, Scientific Reports, Endocrinology and The American Journal of Surgical Pathology.
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.