John M. Gansner
Impact in
- Nephrology top 5%
- Renal Diseases and Glomerulopathies
- Immunology top 10%
- Complement system in diseases
Papers in
-
- Kruppel-like factors research 4
- Microbial metabolism and enzyme function 3
-
- Kidney Stones and Urolithiasis Treatments 8
- Co-authors
- Jonathan D. Gitlin (6 shared papers)Richard M. Kaufman (5 shared papers)Robert S. Makar (2 shared papers)Lynne Uhl (1 shared paper)Stephen W. Waldo (1 shared paper)Vivek Upadhyay (1 shared paper)Lova Sun (1 shared paper)Sunny Dzik (1 shared paper)
- Journals
- Transfusion (3 papers)Developmental Dynamics (3 papers)Journal of Hepatology (2 papers)Kidney International Reports (2 papers)Journal of the American Society of Nephrology (1 paper)
- Partner nations
- United StatesIsraelFrance
In The Last Decade
John M. Gansner
27 papers receiving 898 citations
Peers
Comparison fields: 5 of 98
- Nephrology 125
- Immunology 350
- Hematology 161
- Genetics 97
- Cell Biology 145
Countries citing papers authored by John M. Gansner
This map shows the geographic impact of John M. Gansner'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 John M. Gansner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John M. Gansner more than expected).
Fields of papers citing papers by John M. Gansner
This network shows the impact of papers produced by John M. Gansner. 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 John M. Gansner. The network helps show where John M. Gansner may publish in the future.
Co-authors
The 25 scholars most cited alongside John M. Gansner, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 328 | |
| 2 | 2007 | 76 | |
| 3 | 2018 | 63 | |
| 4 | 2014 | 60 | |
| 5 | 2006 | 57 | |
| 6 | 2022 | 53 | |
| 7 | 2008 | 45 | |
| 8 | 2008 | 36 | |
| 9 | 2022 | 33 | |
| 10 | 2013 | 31 | |
| 11 | 2016 | 30 | |
| 12 | 2016 | 26 | |
| 13 | 2011 | 22 | |
| 14 | 2018 | 11 | |
| 15 | 2020 | 10 | |
| 16 | 2018 | 9 | |
| 17 | 2024 | 9 | |
| 18 | 2023 | 5 | |
| 19 | 2025 | 5 | |
| 20 | 2019 | 4 |
About John M. Gansner
John M. Gansner is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cell Biology, Genetics and Immunology, having authored 28 papers that have together received 925 indexed citations. Recurring topics across this work include Kidney Stones and Urolithiasis Treatments (8 papers), Kruppel-like factors research (4 papers), Connective tissue disorders research (4 papers), Zebrafish Biomedical Research Applications (3 papers), Microbial metabolism and enzyme function (3 papers), Hematopoietic Stem Cell Transplantation (2 papers), Aquaculture disease management and microbiota (2 papers) and Biomedical Research and Pathophysiology (1 paper). The work is most often cited by research in Nephrology (125 citations), Immunology (350 citations), Hematology (161 citations), Genetics (97 citations) and Cell Biology (145 citations). John M. Gansner has collaborated with scholars based in United States, Israel and France. Frequent co-authors include Jonathan D. Gitlin, Richard M. Kaufman, Robert S. Makar, Lynne Uhl, Stephen W. Waldo, Vivek Upadhyay, Lova Sun, Sunny Dzik, Ang Li and Andrew M. Brunner. Their work appears in journals such as Transfusion, Developmental Dynamics, Journal of Hepatology, Kidney International Reports and Journal of the American Society of Nephrology.
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.