Peter T. Kim
- Molecular Biology top 5%
- Infectious Diseases top 1%
- Epidemiology top 5%
- Gastroenterology top 0.5%
- Genetics top 10%
- Co-authors
- Christine H. LeePaul MoayyediMelanie WolfeDavid ArmstrongJosie LibertucciJohn K. MarshallMichael G. SuretteZain Kassam
- Topics
- Topological and Geometric Data Analysis (6 papers)Sparse and Compressive Sensing Techniques (5 papers)Statistical Methods and Inference (5 papers)
- Partner nations
- CanadaSouth KoreaUnited States
In The Last Decade
Peter T. Kim
33 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Molecular Biology 1.4k
- Infectious Diseases 1.3k
- Epidemiology 645
- Gastroenterology 607
- Genetics 292
Countries citing papers authored by Peter T. Kim
This map shows the geographic impact of Peter T. Kim'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 Peter T. Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter T. Kim more than expected).
Fields of papers citing papers by Peter T. Kim
This network shows the impact of papers produced by Peter T. Kim. 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 Peter T. Kim. The network helps show where Peter T. Kim may publish in the future.
Co-authorship network of co-authors of Peter T. Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Peter T. Kim. A scholar is included among the top collaborators of Peter T. Kim 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 Peter T. Kim. Peter T. Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | Frozen vs Fresh Fecal Microbiota Transplantation and Clinical Resolution of Diarrhea in Patients With Recurrent Clostridium difficile Infectionbreakdown → | 477 |
| 3 | 4 | |
| 4 | Fecal Microbiota Transplantation Induces Remission in Patients With Active Ulcerative Colitis in a Randomized Controlled Trialbreakdown → | 1145 |
| 5 | 313 | |
| 6 | 2 | |
| 7 | 15 | |
| 8 | 3 | |
| 9 | 19 | |
| 10 | 57 | |
| 11 | 8 | |
| 12 | 6 | |
| 13 | 8 | |
| 14 | 1 | |
| 15 | Low Cost MEMS Processing Techniques | 0 |
| 16 | 10 | |
| 17 | 32 | |
| 18 | 1 | |
| 19 | 71 | |
| 20 | 28 |
About Peter T. Kim
Peter T. Kim is a scholar working on Computational Mathematics, Statistics and Probability and Mathematical Physics, having authored 34 papers that have together received 2.4k indexed citations. Recurring topics across this work include Topological and Geometric Data Analysis (6 papers), Sparse and Compressive Sensing Techniques (5 papers) and Statistical Methods and Inference (5 papers). The work is most often cited by research in Gastroenterology (607 citations), Infectious Diseases (1.3k citations) and Equine (85 citations). Peter T. Kim has collaborated with scholars based in Canada, South Korea and United States. Frequent co-authors include Christine H. Lee, Paul Moayyedi, Melanie Wolfe, David Armstrong, Josie Libertucci, John K. Marshall, Michael G. Surette, Zain Kassam, Walter Reinisch and J. Scott Weese. Their work appears in journals such as JAMA, Journal of the American Statistical Association and Gastroenterology.
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.