Peter Oh

610 citations
11 papers · 468 · h-index 9

Impact in

    • Tuberculosis Research and Epidemiology
    • Mycobacterium research and diagnosis
    • Pneumocystis jirovecii pneumonia detection and treatment
    • Pneumonia and Respiratory Infections

Papers in

    • Tuberculosis Research and Epidemiology 8
    • Pneumocystis jirovecii pneumonia detection and treatment 2
    • Mycobacterium research and diagnosis 2
    • Pneumonia and Respiratory Infections 1

Peter Oh

11 papers receiving 431 citations

Peers

Peter Oh
Comparison fields: 5 of 75
  • Infectious Diseases 367
  • Epidemiology 200
  • Molecular Medicine 16
  • Surgery 112
  • Microbiology 16
Replace Jon Warkentin with:
Jon Warkentin United States
Anne‐Claude Crémieux France
Annette T. Nitta United States
María Alice da Silva Telles Brazil
Prahlad Kumar India
Karen Eves United States
Marie Ballif Switzerland
Marta Ambroggi Argentina
Ana Reniero Argentina
John Marquess Australia
Peter Oh relative to Jon Warkentin United States Jon Warkentin's profile →
Citations per field
00.5×1.5×2×
Jon Warkentin · 1×
Citations per year

Countries citing papers authored by Peter Oh

Since Specialization
Citations

This map shows the geographic impact of Peter Oh'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 Oh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Oh more than expected).

Fields of papers citing papers by Peter Oh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter Oh. 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 Oh. The network helps show where Peter Oh may publish in the future.

Co-authors

The 25 scholars most cited alongside Peter Oh, 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 Oh Line = papers co-authored together Peter Oh links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2014139
2 200896
3 200280
4 200864
5 201621
6 201021
7 201514
8 201714
9 201213
10 20203
11 20223

About Peter Oh

Peter Oh is a scholar working on Infectious Diseases, Epidemiology, Surgery, General Health Professions and Law, having authored 11 papers that have together received 468 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (8 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers), Mycobacterium research and diagnosis (2 papers), Geriatric Care and Nursing Homes (1 paper), Legal and Constitutional Studies (1 paper), Legal principles and applications (1 paper), Law, Economics, and Judicial Systems (1 paper) and Pneumonia and Respiratory Infections (1 paper). The work is most often cited by research in Infectious Diseases (367 citations), Epidemiology (200 citations), Molecular Medicine (16 citations), Surgery (112 citations) and Microbiology (16 citations). Peter Oh has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Jennifer Flood, Annette T. Nitta, Lori Armstrong, Yael Hirsch‐Moverman, Barbara Seaworth, Edward A. Graviss, Suzanne M. Marks, Sundari Mase, Lisa Y. Armitige and Ritu Banerjee. Their work appears in journals such as Emerging infectious diseases, Clinical Infectious Diseases, The International Journal of Tuberculosis and Lung Disease, BMC Public Health and Clinical 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.

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