C. Pierson

24 papers receiving 1.1k citations

Peers

C. Pierson
Comparison fields: 5 of 79
  • Clinical Biochemistry 506
  • Molecular Medicine 195
  • Applied Microbiology and Biotechnology 61
  • Endocrinology 153
  • Infectious Diseases 512
Replace L. A. McDermott with:
L. A. McDermott United States
Lizzie J. Harrell United States
W. R. Gransden United Kingdom
Sheldon M. Markowitz United States
Paul D. Ellner United States
S D Allen United States
David W. Hecht United States
K E Aldridge United States
T.G. Winstanley United Kingdom
Carmen Betriú Spain
C. Pierson relative to L. A. McDermott United States L. A. McDermott's profile →
Citations per field
00.5×1.5×
L. A. McDermott · 1×
Citations per year

Countries citing papers authored by C. Pierson

Since Specialization
Citations

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

Fields of papers citing papers by C. Pierson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1988129
2 2007128
3 1996124
4 198396
5 199391
6 199876
7 201175
8 200274
9 199574
10 199255
11 199048
12 199041
13 200238
14 198736
15 199426
16 197624
17 198621
18
Antimicrobial susceptibility patterns of the Bacteroides fragilis group in the United States, 1989.
199210
19
Evaluation of a latex agglutination test for the identification of Candida species in vaginal discharge.
19928
20 19976

About C. Pierson

C. Pierson is a scholar working on Clinical Biochemistry, Endocrinology, Infectious Diseases, Molecular Medicine and Public Health, Environmental and Occupational Health, having authored 25 papers that have together received 1.2k indexed citations. Recurring topics across this work include Bacterial Identification and Susceptibility Testing (13 papers), Antibiotic Resistance in Bacteria (6 papers), Diphtheria, Corynebacterium, and Tetanus (5 papers), Streptococcal Infections and Treatments (4 papers), Antifungal resistance and susceptibility (3 papers), Reproductive tract infections research (3 papers), Antibiotics Pharmacokinetics and Efficacy (2 papers) and Gut microbiota and health (2 papers). The work is most often cited by research in Clinical Biochemistry (506 citations), Molecular Medicine (195 citations), Applied Microbiology and Biotechnology (61 citations), Endocrinology (153 citations) and Infectious Diseases (512 citations). C. Pierson has collaborated with scholars based in United States and Italy. Frequent co-authors include Barbara D. Reed, N V Jacobus, David R. Soll, S M Finegold, Paul B. Iannini, Timothy J. Cleary, J. Paul O'Keefe, Shawn R. Lockhart, G J Cuchural and Gale B. Hill. Their work appears in journals such as Journal of Clinical Microbiology, Antimicrobial Agents and Chemotherapy, Clinical Infectious Diseases, Journal of Infection and International Journal of Obstetric Anesthesia.

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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