Eric Neibart

963 citations
15 papers · 392 · h-index 11

Impact in

Papers in

    • Tuberculosis Research and Epidemiology 3
    • Antifungal resistance and susceptibility 2
    • HIV/AIDS drug development and treatment 2
    • COVID-19 Clinical Research Studies 2
    • Pneumocystis jirovecii pneumonia detection and treatment 4
    • Mycobacterium research and diagnosis 3

Eric Neibart

14 papers receiving 377 citations

Peers

Eric Neibart
Comparison fields: 5 of 65
  • Infectious Diseases 142
  • Microbiology 4
  • Molecular Medicine 26
  • Applied Microbiology and Biotechnology 9
  • Epidemiology 135
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Katherine McGowan United States
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Yong Duk Jeon South Korea
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Citations per field
00.5×10×14.7×
Katherine McGowan · 1×
Citations per year

Countries citing papers authored by Eric Neibart

Since Specialization
Citations

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

Fields of papers citing papers by Eric Neibart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 1994112
2 199479
3 202072
4 198824
5 200622
6 202022
7 199211
8 199311
9
Antifungal agents and the treatment of fungal infections of the head and neck.
199311
10 201810
11 199310
12 20246
13 20241
14 19941
15 20250

About Eric Neibart

Eric Neibart is a scholar working on Infectious Diseases, Epidemiology, Surgery, Cardiology and Cardiovascular Medicine and Neurology, having authored 15 papers that have together received 392 indexed citations. Recurring topics across this work include Pneumocystis jirovecii pneumonia detection and treatment (4 papers), Tuberculosis Research and Epidemiology (3 papers), Mycobacterium research and diagnosis (3 papers), Antifungal resistance and susceptibility (2 papers), HIV/AIDS drug development and treatment (2 papers), COVID-19 Clinical Research Studies (2 papers), Long-Term Effects of COVID-19 (2 papers) and Cardiac Valve Diseases and Treatments (2 papers). The work is most often cited by research in Infectious Diseases (142 citations), Microbiology (4 citations), Molecular Medicine (26 citations), Applied Microbiology and Biotechnology (9 citations) and Epidemiology (135 citations). Eric Neibart has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Meryl H. Mendelson, Burt R. Meyers, Charles M. Miller, Patricia A. Sheiner, Jeffrey P. Gumprecht, Tony Cheung, Susan Szabo, Kyung H. Choi, Shalom Z. Hirschman and Alejandra Gurtman. Their work appears in journals such as Clinical Infectious Diseases, Journal of the American College of Cardiology, Transplantation, Otolaryngologic Clinics of North America and The American Journal of Medicine.

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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