John M. Kittelson
- Surgery top 10%
- Pulmonary and Respiratory Medicine top 10%
- Cardiology and Cardiovascular Medicine top 5%
- Molecular Biology
- Epidemiology
- Co-authors
- Scott S. EmersonWilliam R. HiattMori J. KrantzJeffrey S. BergerWendy M. KohrtDaniel L. GillenAnthony CB MoltenoRobert S. Schwartz
- Topics
- Statistical Methods in Clinical Trials (9 papers)Health Systems, Economic Evaluations, Quality of Life (6 papers)Advanced Causal Inference Techniques (5 papers)
- Partner nations
- United StatesNew ZealandCanada
In The Last Decade
John M. Kittelson
52 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 129
- Surgery 485
- Pulmonary and Respiratory Medicine 370
- Cardiology and Cardiovascular Medicine 350
- Molecular Biology 309
- Epidemiology 243
Countries citing papers authored by John M. Kittelson
This map shows the geographic impact of John M. Kittelson'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. Kittelson 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. Kittelson more than expected).
Fields of papers citing papers by John M. Kittelson
This network shows the impact of papers produced by John M. Kittelson. 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. Kittelson. The network helps show where John M. Kittelson may publish in the future.
Co-authorship network of co-authors of John M. Kittelson
This figure shows the co-authorship network connecting the top 25 collaborators of John M. Kittelson. A scholar is included among the top collaborators of John M. Kittelson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with John M. Kittelson. John M. Kittelson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 18 | |
| 3 | 22 | |
| 4 | 50 | |
| 5 | 35 | |
| 6 | 2 | |
| 7 | 15 | |
| 8 | 36 | |
| 9 | 113 | |
| 10 | 22 | |
| 11 | 38 | |
| 12 | 21 | |
| 13 | 65 | |
| 14 | 10 | |
| 15 | 23 | |
| 16 | 51 | |
| 17 | Expression of the metalloproteinase matrilysin in DU-145 cells increases their invasive potential in severe combined immunodeficient mice. | 174 |
| 18 | 43 | |
| 19 | 39 | |
| 20 | 23 |
About John M. Kittelson
John M. Kittelson is a scholar working on Internal Medicine, Statistics and Probability and Hematology, having authored 53 papers that have together received 2.1k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (9 papers), Health Systems, Economic Evaluations, Quality of Life (6 papers) and Advanced Causal Inference Techniques (5 papers). The work is most often cited by research in Internal Medicine (182 citations), Statistics and Probability (170 citations) and Cardiology and Cardiovascular Medicine (350 citations). John M. Kittelson has collaborated with scholars based in United States, New Zealand and Canada. Frequent co-authors include Scott S. Emerson, William R. Hiatt, Mori J. Krantz, Jeffrey S. Berger, Wendy M. Kohrt, Daniel L. Gillen, Anthony CB Molteno, Robert S. Schwartz, Raymond B. Nagle and Virginia A. Clark. Their work appears in journals such as JAMA, SHILAP Revista de lepidopterología and Blood.
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.