Diane Kim

765 citations
22 papers · 294 indexed · h-index 9

Impact in

Papers in

Diane Kim

21 papers receiving 291 citations

Peers

Diane Kim
Comparison fields: 5 of 70
  • Applied Microbiology and Biotechnology 23
  • Infectious Diseases 197
  • Clinical Biochemistry 71
  • Molecular Medicine 31
  • Critical Care and Intensive Care Medicine 26
Replace Margherita Digaetano with:
Margherita Digaetano Italy
Riccardo Ungaro Italy
Judith Hackett United States
Clément Ourghanlian France
Dixie Huntley Spain
Judith Berger United States
Susan Nabadda Uganda
Erica Pan United States
Paula Binks Australia
Barnes S. Kitsao United Kingdom
Diane Kim relative to Margherita Digaetano Italy Margherita Digaetano's profile →
Citations per field
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Margherita Digaetano · 1×
Citations per year

Countries citing papers authored by Diane Kim

Since Specialization
Citations

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

Fields of papers citing papers by Diane Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20233
3 20231
4 20222
5 20223
6 20222
7 202213
8 20202
9 20164
10 20165
11 20141
12 20142
13 201319
14 201331
15 201337
16 20123
17 201240
18 201219
19 201239
20 201045

About Diane Kim

Diane Kim is a scholar working on Applied Microbiology and Biotechnology, Infectious Diseases, Clinical Biochemistry, Occupational Therapy and Toxicology, having authored 22 papers that have together received 294 indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (11 papers), Bacterial Identification and Susceptibility Testing (4 papers), Clostridium difficile and Clostridium perfringens research (3 papers), Cancer, Hypoxia, and Metabolism (2 papers), Antibiotic Use and Resistance (2 papers), Infection Control in Healthcare (2 papers), Urinary Tract Infections Management (2 papers) and Occupational Therapy Practice and Research (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (23 citations), Infectious Diseases (197 citations), Clinical Biochemistry (71 citations), Molecular Medicine (31 citations) and Critical Care and Intensive Care Medicine (26 citations). Diane Kim has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Susan S. Huang, Ellena M. Peterson, Courtney R. Murphy, Matthew D. Whealon, Hildy Meyers, Michele Cheung, Mark C. Enright, Brian G. Spratt, Samantha J. Eells and Christopher J. Pace. Their work appears in journals such as Infection Control and Hospital Epidemiology, Open Forum Infectious Diseases, Journal of the American Geriatrics Society, JACCP JOURNAL OF THE AMERICAN COLLEGE OF CLINICAL PHARMACY and Journal of Clinical Microbiology.

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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