Peter T. Kim

33 papers receiving 2.3k citations

Peter T. Kim's Hit Papers

Frozen vs Fresh Fecal Microbiota Transplantation and Clinical Resolution of Diarrhea in Patients With Recurrent Clostridium difficile Infection 2016 · 480 citations
4800+3+7Years since publication2505007501000

Peers

Peter T. Kim
Comparison fields: 5 of 139
  • Gastroenterology 472
  • Infectious Diseases 1.2k
  • Equine 77
  • Molecular Biology 1.1k
  • Epidemiology 403
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Nora C. Toussaint United States
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Yu‐Tsueng Liu United States
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Citations per field
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Citations per year

Countries citing papers authored by Peter T. Kim

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside Peter T. Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Peter T. Kim Line = papers co-authored together Peter T. Kim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Fecal Microbiota Transplantation Induces Remission in Patients With Active Ulcerative Colitis in a Randomized Controlled Trial
Hit paper breakdown →
20151163
2
Frozen vs Fresh Fecal Microbiota Transplantation and Clinical Resolution of Diarrhea in Patients With Recurrent Clostridium difficile Infection
Hit paper breakdown →
2016480
3 2012319
4 199873
5 200956
6 200752
7 200233
8 199632
9 199829
10 201019
11 201215
12 201015
13 200814
14 200813
15 201213
16 200311
17 20068
18 20098
19 20058
20 20046

About Peter T. Kim

Peter T. Kim is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Molecular Biology, Computational Mechanics and Radiology, Nuclear Medicine and Imaging, 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), Statistical Methods and Inference (5 papers), Numerical methods in inverse problems (4 papers), Clostridium difficile and Clostridium perfringens research (4 papers), Advanced Neuroimaging Techniques and Applications (4 papers), Statistical and numerical algorithms (4 papers) and Morphological variations and asymmetry (3 papers). The work is most often cited by research in Gastroenterology (472 citations), Infectious Diseases (1.2k citations), Equine (77 citations), Molecular Biology (1.1k citations) and Epidemiology (403 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, Michael G. Surette, David Armstrong, Zain Kassam, John K. Marshall, Walter Reinisch, Josie Libertucci and J. Scott Weese. Their work appears in journals such as Journal of Multivariate Analysis, The Annals of Statistics, Gastroenterology, Canadian Journal of Statistics and American Journal of Kidney Diseases.

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.

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