David Salkin

408 citations
21 papers · 199 · h-index 6

Impact in

    • Actinomycetales infections and treatment
    • Antifungal resistance and susceptibility
    • Tuberculosis Research and Epidemiology

Papers in

    • Tuberculosis Research and Epidemiology 7
    • Antifungal resistance and susceptibility 3
    • Fungal Infections and Studies 5
    • Mycobacterium research and diagnosis 1

David Salkin

19 papers receiving 170 citations

Peers

David Salkin
Comparison fields: 5 of 48
  • Microbiology 16
  • Infectious Diseases 105
  • Epidemiology 146
  • Parasitology 9
  • Small Animals 8
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Citations per year

Countries citing papers authored by David Salkin

Since Specialization
Citations

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

Fields of papers citing papers by David Salkin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside David Salkin, 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 David Salkin Line = papers co-authored together David Salkin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199375
2 202028
3 195625
4 195415
5 196713
6 20228
7 19555
8
Effects of corticosteroid administration on the serum electrophoretic patterns of patients with pulmonary tuberculosis.
19615
9 19595
10
The Natural History of Tuberculous Tracheobronchitis1
20194
11 19573
12 19592
13
Serial serum glycoprotein and protein studies in pulmonary tuberculosis.
19582
14 19582
15 19531
16 20171
17 19621
18 19541
19 19621
20
Standards of therapy for tuberculosis, 1962.
19621

About David Salkin

David Salkin is a scholar working on Infectious Diseases, Epidemiology, Surgery, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 21 papers that have together received 199 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (7 papers), Fungal Infections and Studies (5 papers), Diagnosis and treatment of tuberculosis (4 papers), Glycosylation and Glycoproteins Research (3 papers), Antifungal resistance and susceptibility (3 papers), Blood groups and transfusion (2 papers), Plant Pathogens and Fungal Diseases (1 paper) and Mycobacterium research and diagnosis (1 paper). The work is most often cited by research in Microbiology (16 citations), Infectious Diseases (105 citations), Epidemiology (146 citations), Parasitology (9 citations) and Small Animals (8 citations). David Salkin has collaborated with scholars based in United States and Trinidad and Tobago. Frequent co-authors include T. Vincent, M. Huppert, J N Galgiani, L G Wayne, H. E. Weimer, Linda Snyder, George R. Thompson, Derek J. Bays, Machelle Wilson and John N. Galgiani. Their work appears in journals such as Clinical Infectious Diseases, Experimental Biology and Medicine, Clinica Chimica Acta, Open Forum Infectious Diseases and Medical Mycology.

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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