Nicole Parrish

1.7k citations
54 papers · 1.2k · h-index 20

Impact in

Papers in

    • Mycobacterium research and diagnosis 43
    • Pneumocystis jirovecii pneumonia detection and treatment 7
    • Pneumonia and Respiratory Infections 6
    • Tuberculosis Research and Epidemiology 39

Nicole Parrish

51 papers receiving 1.1k citations

Peers

Nicole Parrish
Comparison fields: 5 of 91
  • Infectious Diseases 719
  • Molecular Medicine 141
  • Microbiology 20
  • Epidemiology 788
  • Small Animals 162
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Therdsak Prammananan Thailand
Alberto Trovato Italy
Rossella Baldan Italy
Andréa von Groll Brazil
Silvia Campana Italy
Jaime Robledo Colombia
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Citations per field
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Citations per year

Countries citing papers authored by Nicole Parrish

Since Specialization
Citations

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

Fields of papers citing papers by Nicole Parrish

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021134
2 201598
3 200380
4 201978
5 201953
6 201751
7 201248
8 201048
9 199943
10 200335
11 202133
12 200827
13 201526
14 201924
15 201624
16 200923
17 201822
18 201222
19 201520
20 200420

About Nicole Parrish

Nicole Parrish is a scholar working on Epidemiology, Infectious Diseases, Small Animals, Surgery and Molecular Medicine, having authored 54 papers that have together received 1.2k indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (43 papers), Tuberculosis Research and Epidemiology (39 papers), Infectious Diseases and Mycology (12 papers), Infectious Diseases and Tuberculosis (9 papers), Pneumocystis jirovecii pneumonia detection and treatment (7 papers), Antibiotic Resistance in Bacteria (6 papers), Pneumonia and Respiratory Infections (6 papers) and Bacteriophages and microbial interactions (2 papers). The work is most often cited by research in Infectious Diseases (719 citations), Molecular Medicine (141 citations), Microbiology (20 citations), Epidemiology (788 citations) and Small Animals (162 citations). Nicole Parrish has collaborated with scholars based in United States, India and Cameroon. Frequent co-authors include Amit Kaushik, Karen C. Carroll, Gyanu Lamichhane, Eric L. Nuermberger, Kim Yi Dionne, Nicole C. Ammerman, Urvashi B. Singh, Keira A. Cohen, Asli Bahadirli-Talbott and Susan E. Dorman. Their work appears in journals such as Journal of Clinical Microbiology, Diagnostic Microbiology and Infectious Disease, Antimicrobial Agents and Chemotherapy, Future Microbiology and Journal of Antimicrobial Chemotherapy.

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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