Lin-Jun Ge
Impact in
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- Neuropeptides and Animal Physiology
- Physiology top 5%
- Pain Mechanisms and Treatments
Papers in
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- Neuropeptides and Animal Physiology 10
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- Receptor Mechanisms and Signaling 5
- Pharmacological Receptor Mechanisms and Effects 1
- S100 Proteins and Annexins 1
- Co-authors
- James E. Zadina (11 shared papers)Laszlo Hackler (6 shared papers)Abba J. Kastin (1 shared paper)Abba J. Kastin (2 shared papers)Abba J. Kastin (8 shared papers)Philip J. Kadowitz (3 shared papers)Hunter C. Champion (3 shared papers)Sheryl Martin‐Schild (1 shared paper)
- Journals
- Life Sciences (3 papers)Peptides (2 papers)Annals of the New York Academy of Sciences (2 papers)Regulatory Peptides (1 paper)Biochemical and Biophysical Research Communications (1 paper)
- Partner nations
- United States
In The Last Decade
Lin-Jun Ge
11 papers receiving 1.7k citations
Lin-Jun Ge's Hit Papers
Peers
Comparison fields: 5 of 76
- Cellular and Molecular Neuroscience 1.5k
- Physiology 675
- Molecular Biology 1.1k
- Endocrine and Autonomic Systems 102
- Reproductive Medicine 126
Countries citing papers authored by Lin-Jun Ge
This map shows the geographic impact of Lin-Jun Ge'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 Lin-Jun Ge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin-Jun Ge more than expected).
Fields of papers citing papers by Lin-Jun Ge
This network shows the impact of papers produced by Lin-Jun Ge. 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 Lin-Jun Ge. The network helps show where Lin-Jun Ge may publish in the future.
Co-authors
The 14 scholars most cited alongside Lin-Jun Ge, 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 | A potent and selective endogenous agonist for the µ-opiate receptor Hit paper breakdown → | 1997 | 1152 |
| 2 | 1997 | 166 | |
| 3 | 1999 | 118 | |
| 4 | 1997 | 67 | |
| 5 | 1997 | 54 | |
| 6 | 1998 | 51 | |
| 7 | 1989 | 38 | |
| 8 | 1995 | 35 | |
| 9 | 1990 | 31 | |
| 10 | 1994 | 7 | |
| 11 | 1990 | 3 |
About Lin-Jun Ge
Lin-Jun Ge is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Physiology, Immunology and Surgery, having authored 11 papers that have together received 1.7k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (10 papers), Pain Mechanisms and Treatments (6 papers), Receptor Mechanisms and Signaling (5 papers), Macrophage Migration Inhibitory Factor (3 papers), Pharmacological Receptor Mechanisms and Effects (1 paper), Biochemical effects in animals (1 paper), S100 Proteins and Annexins (1 paper) and Prenatal Substance Exposure Effects (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (1.5k citations), Physiology (675 citations), Molecular Biology (1.1k citations), Endocrine and Autonomic Systems (102 citations) and Reproductive Medicine (126 citations). Lin-Jun Ge has collaborated with scholars based in United States. Frequent co-authors include James E. Zadina, Laszlo Hackler, Abba J. Kastin, Abba J. Kastin, Abba J. Kastin, Philip J. Kadowitz, Hunter C. Champion, Sheryl Martin‐Schild, Arnold A. Gerall and Xing Zhang. Their work appears in journals such as Life Sciences, Peptides, Annals of the New York Academy of Sciences, Regulatory Peptides and Biochemical and Biophysical Research Communications.
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.