P. Jan Geiseler

1.5k citations
22 papers · 1.1k · h-index 14

Impact in

    • Bacterial Infections and Vaccines
    • HIV/AIDS drug development and treatment
    • HIV/AIDS Research and Interventions

Papers in

    • Pneumonia and Respiratory Infections 5
    • Pneumocystis jirovecii pneumonia detection and treatment 3
    • Infective Endocarditis Diagnosis and Management 2
    • Tuberculosis Research and Epidemiology 2
    • Antimicrobial Resistance in Staphylococcus 2

P. Jan Geiseler

22 papers receiving 998 citations

Peers

P. Jan Geiseler
Comparison fields: 5 of 92
  • Microbiology 31
  • Microbiology 230
  • Infectious Diseases 360
  • Epidemiology 556
  • Virology 64
Replace Jaime G. Deville with:
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A. Boibieux France
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Haluk Eraksoy Türkiye
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Citations per field
00.5×1.5×1.9×
Jaime G. Deville · 1×
Citations per year

Countries citing papers authored by P. Jan Geiseler

Since Specialization
Citations

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

Fields of papers citing papers by P. Jan Geiseler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. Jan Geiseler. 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 P. Jan Geiseler. The network helps show where P. Jan Geiseler may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1986332
2 2009225
3 1980164
4 2000104
5 198653
6 201133
7 197933
8 198232
9 198723
10 198523
11 201219
12 201717
13 198416
14 198213
15 19838
16 19807
17 20176
18 20106
19 19835
20 19832

About P. Jan Geiseler

P. Jan Geiseler is a scholar working on Epidemiology, Infectious Diseases, Surgery, Microbiology and Molecular Biology, having authored 22 papers that have together received 1.1k indexed citations. Recurring topics across this work include Bacterial Infections and Vaccines (6 papers), Pneumonia and Respiratory Infections (5 papers), Infectious Diseases and Tuberculosis (4 papers), Pneumocystis jirovecii pneumonia detection and treatment (3 papers), Streptococcal Infections and Treatments (2 papers), Tuberculosis Research and Epidemiology (2 papers), Infective Endocarditis Diagnosis and Management (2 papers) and Antimicrobial Resistance in Staphylococcus (2 papers). The work is most often cited by research in Microbiology (31 citations), Microbiology (230 citations), Infectious Diseases (360 citations), Epidemiology (556 citations) and Virology (64 citations). P. Jan Geiseler has collaborated with scholars based in United States, China and Puerto Rico. Frequent co-authors include Kenrad E. Nelson, Vijai K. Moses, Aldona L. Baltch, Michael S. Simberkoff, Anne Cross, Stuart Levin, Donald S. Shepard, Mohamed Al‐Ibrahim, Jeffrey P. Nadler and Raymond P. Smith. Their work appears in journals such as Journal of Clinical Microbiology, Clinical Infectious Diseases, New England Journal of Medicine, The Journal of Infectious Diseases and Diagnostic Microbiology and Infectious Disease.

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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