Ji Ma
Impact in
- Urology top 5%
- Urological Disorders and Treatments
- Nephrology top 10%
Papers in
-
- Connective Tissue Growth Factor Research 2
- Renal and related cancers 2
-
- Nerve injury and regeneration 2
- Neuropeptides and Animal Physiology 2
- Co-authors
- Iekuni Ichikawa (4 shared papers)Agnes B. Fogo (3 shared papers)Hideki Nishimura (2 shared papers)Valentina Kon (2 shared papers)Tadashi Inagami (1 shared paper)Yoichi Miyazaki (1 shared paper)John W. Brock (1 shared paper)Katharina Hohenfellner (1 shared paper)
- Journals
- Neuropeptides (1 paper)Kidney International (1 paper)Pediatric Research (1 paper)Molecular Cell (1 paper)Acta Pharmacologica Sinica (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Ji Ma
14 papers receiving 612 citations
Peers
Comparison fields: 5 of 78
- Urology 90
- Nephrology 63
- Developmental Neuroscience 36
- Cardiology and Cardiovascular Medicine 180
- Endocrinology, Diabetes and Metabolism 126
Countries citing papers authored by Ji Ma
This map shows the geographic impact of Ji Ma'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 Ji Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ji Ma more than expected).
Fields of papers citing papers by Ji Ma
This network shows the impact of papers produced by Ji Ma. 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 Ji Ma. The network helps show where Ji Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Ji Ma, 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 | 1999 | 272 | |
| 2 | 1998 | 149 | |
| 3 | 2021 | 44 | |
| 4 | 2012 | 38 | |
| 5 | 2005 | 34 | |
| 6 | 2009 | 32 | |
| 7 | 2004 | 14 | |
| 8 | 2016 | 13 | |
| 9 | Zero-shot Neural Retrieval via Domain-targeted Synthetic Query Generation. | 2020 | 8 |
| 10 | 2012 | 7 | |
| 11 | 2017 | 7 | |
| 12 | [Expression of galanin and galanin receptors in neurogenesis regions of adult mouse brain and effect of galanin on the neural stem cell's differentiation]. | 2008 | 5 |
| 13 | [Protection of rosiglitazone against renal interstitial lesion and its mechanism]. | 2005 | 4 |
| 14 | 2012 | 2 | |
| 15 | Hybrid First-stage Retrieval Models for Biomedical Literature. | 2020 | 0 |
About Ji Ma
Ji Ma is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Artificial Intelligence, Developmental Neuroscience and Cardiology and Cardiovascular Medicine, having authored 15 papers that have together received 629 indexed citations. Recurring topics across this work include Topic Modeling (3 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Nerve injury and regeneration (2 papers), Neuropeptides and Animal Physiology (2 papers), Connective Tissue Growth Factor Research (2 papers), Renal and related cancers (2 papers), Renin-Angiotensin System Studies (2 papers) and Pregnancy and preeclampsia studies (2 papers). The work is most often cited by research in Urology (90 citations), Nephrology (63 citations), Developmental Neuroscience (36 citations), Cardiology and Cardiovascular Medicine (180 citations) and Endocrinology, Diabetes and Metabolism (126 citations). Ji Ma has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Iekuni Ichikawa, Agnes B. Fogo, Hideki Nishimura, Valentina Kon, Tadashi Inagami, Yoichi Miyazaki, John W. Brock, Katharina Hohenfellner, Tracy E. Hunley and David W. Threadgill. Their work appears in journals such as Neuropeptides, Kidney International, Pediatric Research, Molecular Cell and Acta Pharmacologica Sinica.
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.