John M. Gansner
Impact in
- Nephrology top 5%
- Renal Diseases and Glomerulopathies
- Hematology top 5%
- Platelet Disorders and Treatments
- Blood groups and transfusion
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)Ayad Hamdan (1 shared paper)Lynne Uhl (1 shared paper)Stephen W. Waldo (1 shared paper)Ang Li (1 shared paper)Andrew M. Brunner (1 shared paper)
- Journals
- Transfusion (3 papers)Developmental Dynamics (3 papers)Journal of Hepatology (2 papers)Kidney International Reports (2 papers)Frontiers in Pediatrics (1 paper)
- Partner nations
- United StatesIsraelFrance
In The Last Decade
John M. Gansner
26 papers receiving 852 citations
Peers
Comparison fields: 5 of 101
- Nephrology 168
- Hematology 201
- Immunology 344
- Transplantation 36
- Genetics 120
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 | 314 | |
| 2 | 2007 | 74 | |
| 3 | 2018 | 58 | |
| 4 | 2006 | 56 | |
| 5 | 2014 | 56 | |
| 6 | 2022 | 50 | |
| 7 | 2008 | 42 | |
| 8 | 2008 | 33 | |
| 9 | 2013 | 30 | |
| 10 | 2022 | 30 | |
| 11 | 2016 | 29 | |
| 12 | 2016 | 26 | |
| 13 | 2011 | 20 | |
| 14 | 2018 | 11 | |
| 15 | 2020 | 9 | |
| 16 | 2018 | 7 | |
| 17 | 2024 | 7 | |
| 18 | 2019 | 4 | |
| 19 | 2023 | 4 | |
| 20 | 2019 | 3 |
About John M. Gansner
John M. Gansner is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Hematology, Cell Biology and Pediatrics, Perinatology and Child Health, having authored 28 papers that have together received 872 indexed citations. Recurring topics across this work include Kidney Stones and Urolithiasis Treatments (8 papers), Biomedical Research and Pathophysiology (5 papers), Kruppel-like factors research (4 papers), Connective tissue disorders research (4 papers), Blood groups and transfusion (4 papers), Neonatal Health and Biochemistry (3 papers), Platelet Disorders and Treatments (3 papers) and Microbial metabolism and enzyme function (3 papers). The work is most often cited by research in Nephrology (168 citations), Hematology (201 citations), Immunology (344 citations), Transplantation (36 citations) and Genetics (120 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, Ayad Hamdan, Lynne Uhl, Stephen W. Waldo, Ang Li, Andrew M. Brunner, Leonard I. Zon and Shelley Hurwitz. Their work appears in journals such as Transfusion, Developmental Dynamics, Journal of Hepatology, Kidney International Reports and Frontiers in Pediatrics.
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.