Long Jin
Impact in
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- Regulation of Appetite and Obesity
- Sensory Systems top 5%
- Hearing, Cochlea, Tinnitus, Genetics
Papers in
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- Circular RNAs in diseases 3
- Epigenetics and DNA Methylation 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)Marta Couce (1 shared paper)R. Yoshiyuki Osamura (1 shared paper)Bartolomé Burguera (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)Cell stem cell (1 paper)npj Materials Degradation (1 paper)Genomics (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Long Jin
27 papers receiving 903 citations
Peers
Comparison fields: 5 of 89
- Endocrine and Autonomic Systems 188
- Sensory Systems 103
- Endocrinology, Diabetes and Metabolism 239
- Cancer Research 189
- Nutrition and Dietetics 111
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 | 217 | |
| 2 | 1999 | 140 | |
| 3 | 2017 | 85 | |
| 4 | 2017 | 70 | |
| 5 | 2010 | 69 | |
| 6 | 2004 | 56 | |
| 7 | 1999 | 35 | |
| 8 | 1997 | 30 | |
| 9 | 2001 | 28 | |
| 10 | 2004 | 25 | |
| 11 | 2001 | 22 | |
| 12 | 2004 | 20 | |
| 13 | 2010 | 20 | |
| 14 | 2008 | 19 | |
| 15 | 2002 | 16 | |
| 16 | 2010 | 15 | |
| 17 | 2007 | 15 | |
| 18 | 2009 | 11 | |
| 19 | 2018 | 10 | |
| 20 | 2000 | 7 |
About Long Jin
Long Jin is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Oncology, Mechanical Engineering and Cancer Research, having authored 27 papers that have together received 932 indexed citations. Recurring topics across this work include Microstructure and Mechanical Properties of Steels (3 papers), Circular RNAs in diseases (3 papers), Neuroblastoma Research and Treatments (3 papers), Cancer-related Molecular Pathways (3 papers), Epigenetics and DNA Methylation (3 papers), Pituitary Gland Disorders and Treatments (3 papers), MicroRNA in disease regulation (3 papers) and Galectins and Cancer Biology (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (188 citations), Sensory Systems (103 citations), Endocrinology, Diabetes and Metabolism (239 citations), Cancer Research (189 citations) and Nutrition and Dietetics (111 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, Marta Couce, R. Yoshiyuki Osamura, Bartolomé Burguera, Bernd W. Scheithauer, Katharina H. Ruebel, Kálmán Kovács and Sergio Vidal. Their work appears in journals such as Endocrine Pathology, American Journal Of Pathology, Cell stem cell, npj Materials Degradation and Genomics.
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.