D. N. Gerding

649 citations
11 papers · 505 indexed · h-index 9

Impact in

    • Clostridium difficile and Clostridium perfringens research
    • Viral gastroenteritis research and epidemiology
    • Antimicrobial Resistance in Staphylococcus
    • Antibiotic Resistance in Bacteria

Papers in

D. N. Gerding

11 papers receiving 480 citations

Peers

D. N. Gerding
Comparison fields: 5 of 68
  • Infectious Diseases 319
  • Molecular Medicine 80
  • Applied Microbiology and Biotechnology 32
  • Critical Care and Intensive Care Medicine 69
  • Clinical Biochemistry 73
Replace Michelle Barron with:
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Citations per field
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Citations per year

Countries citing papers authored by D. N. Gerding

Since Specialization
Citations

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

Fields of papers citing papers by D. N. Gerding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. N. Gerding. 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 D. N. Gerding. The network helps show where D. N. Gerding may publish in the future.

Co-authorship network

The 17 scholars most cited alongside D. N. Gerding, 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 D. N. Gerding Line = papers co-authored together D. N. Gerding links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 199543
2 199278
3 1992166
4 19911
5 1989131
6
Neutrophil chemotaxis and adherence in vitro and localization in vivo in rabbits with Staphylococcus aureus abscesses.
19894
7 198710
8 198512
9 198416
10 198328
11 197816

About D. N. Gerding

D. N. Gerding is a scholar working on Clinical Biochemistry, Molecular Medicine, Infectious Diseases, Pharmacology and Critical Care and Intensive Care Medicine, having authored 11 papers that have together received 505 indexed citations. Recurring topics across this work include Clostridium difficile and Clostridium perfringens research (6 papers), Antibiotics Pharmacokinetics and Efficacy (5 papers), Bacterial Identification and Susceptibility Testing (5 papers), Antibiotic Resistance in Bacteria (3 papers), Antimicrobial Resistance in Staphylococcus (3 papers), Microscopic Colitis (2 papers), Urinary Tract Infections Management (1 paper) and Cell Adhesion Molecules Research (1 paper). The work is most often cited by research in Infectious Diseases (319 citations), Molecular Medicine (80 citations), Applied Microbiology and Biotechnology (32 citations), Critical Care and Intensive Care Medicine (69 citations) and Clinical Biochemistry (73 citations). D. N. Gerding has collaborated with scholars based in United States. Frequent co-authors include Stuart Johnson, Edward N. Janoff, Lance R. Peterson, Andreas Adelmann, Connie Clabots, R. R. Muder, Marilyn M. Wagener, Thomas R. Beam, D. L. Weinbaum and Robert M. Lumish. Their work appears in journals such as The Journal of Infectious Diseases, Diagnostic Microbiology and Infectious Disease, Journal of Clinical Microbiology, Antimicrobial Agents and Chemotherapy and Infection and Immunity.

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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