Smith Shadomy

4.0k citations
108 papers · 3.2k indexed · h-index 30

Smith Shadomy

102 papers receiving 2.7k citations

Peers

Smith Shadomy
Comparison fields: 5 of 113
  • Infectious Diseases 2.0k
  • Epidemiology 1.9k
  • Small Animals 292
  • Cell Biology 435
  • Pharmacology 377
Replace David J. Drutz with:
David J. Drutz United States
Thomas M. Kerkering United States
Annemarie Polak Switzerland
Roy L. Hopfer United States
H. Jean Shadomy United States
Christine J. Morrison United States
Erja Chryssanthou Sweden
Errol Reiss United States
J. L. Rodríguez-Tudela Spain
J N Galgiani United States
Smith Shadomy relative to David J. Drutz United States David J. Drutz's profile →
Citations per field
00.5×2.6×
David J. Drutz · 1×
Citations per year

Countries citing papers authored by Smith Shadomy

Since Specialization
Citations

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

Fields of papers citing papers by Smith Shadomy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 19914
2 199045
3 1989125
4 19884
5 198612
6 198113
7 19793
8 19783
9 197818
10 197816
11 19774
12 19742
13 197164
14 19694
15
In vitro susceptibility of Cryptococcus neoformans to amphotericin B, hamycin, and 5-fluorocytosine.
196844
16 19663
17 196513
18 196518
19 19655
20 19571

About Smith Shadomy

Smith Shadomy is a scholar working on Infectious Diseases, Molecular Medicine, Applied Microbiology and Biotechnology, Epidemiology and Endocrinology, having authored 108 papers that have together received 3.2k indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (56 papers), Fungal Infections and Studies (35 papers), Nail Diseases and Treatments (32 papers), Antibiotics Pharmacokinetics and Efficacy (17 papers), Antibiotic Resistance in Bacteria (16 papers), Antimicrobial Resistance in Staphylococcus (13 papers), Plant Pathogens and Fungal Diseases (12 papers) and Bacterial Identification and Susceptibility Testing (6 papers). The work is most often cited by research in Infectious Diseases (2.0k citations), Epidemiology (1.9k citations), Small Animals (292 citations), Cell Biology (435 citations) and Pharmacology (377 citations). Smith Shadomy has collaborated with scholars based in United States. Frequent co-authors include Ana Espinel-Ingroff, H. Jean Shadomy, Ana Espinel‐Ingroff, Thomas M. Kerkering, William E. Dismukes, Dennis M. Dixon, John F. Fisher, Robert B. Diasio, Richard J. Duma and Frances M. Keddie. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Journal of Clinical Microbiology, Medical Mycology, The Journal of Infectious Diseases and 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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