Molly E. Kellum

777 citations
8 papers · 483 · h-index 8

Impact in

Papers in

    • Antimicrobial Resistance in Staphylococcus 4
    • Infection Control in Healthcare 1
    • Clostridium difficile and Clostridium perfringens research 1
    • Antifungal resistance and susceptibility 1
    • Bacterial Identification and Susceptibility Testing 4

Molly E. Kellum

8 papers receiving 442 citations

Peers

Molly E. Kellum
Comparison fields: 5 of 71
  • Infectious Diseases 311
  • Clinical Biochemistry 99
  • Biotechnology 81
  • Food Science 92
  • Microbiology 23
Replace Valéria Cataneli Pereira with:
Valéria Cataneli Pereira Brazil
Alfred Okeng Uganda
Adilson de Oliveira Brazil
Florence Najjuka Uganda
William Schaffner United States
Rosaria Rossi Italy
Y. Gille France
Ritsuko Mitsuhata Japan
Eliezer Menezes Pereira Brazil
B.P. Avery Canada
Molly E. Kellum relative to Valéria Cataneli Pereira Brazil Valéria Cataneli Pereira's profile →
Citations per field
00.5×1.5×2.5×
Valéria Cataneli Pereira · 1×
Citations per year

Countries citing papers authored by Molly E. Kellum

Since Specialization
Citations

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

Fields of papers citing papers by Molly E. Kellum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Molly E. Kellum. 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 Molly E. Kellum. The network helps show where Molly E. Kellum may publish in the future.

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2002232
2 200273
3 200147
4 200442
5 200437
6 200129
7 200214
8 20019

About Molly E. Kellum

Molly E. Kellum is a scholar working on Infectious Diseases, Clinical Biochemistry, Molecular Biology, Molecular Medicine and Sociology and Political Science, having authored 8 papers that have together received 483 indexed citations. Recurring topics across this work include Bacterial Identification and Susceptibility Testing (4 papers), Antimicrobial Resistance in Staphylococcus (4 papers), Antibiotic Resistance in Bacteria (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (1 paper), Bacillus and Francisella bacterial research (1 paper), Infection Control in Healthcare (1 paper), Clostridium difficile and Clostridium perfringens research (1 paper) and Antifungal resistance and susceptibility (1 paper). The work is most often cited by research in Infectious Diseases (311 citations), Clinical Biochemistry (99 citations), Biotechnology (81 citations), Food Science (92 citations) and Microbiology (23 citations). Molly E. Kellum has collaborated with scholars based in United States, Brazil and Australia. Frequent co-authors include William Schaffner, Susan S. Porter, Timothy F. Jones, Michael Bell, Sigrid K. McAllister, Matthew J. Kuehnert, James E. Cheek, Neil L. Barg, Francisco Alvarado‐Ramy and Richard Leman. Their work appears in journals such as Emerging infectious diseases, Infection Control and Hospital Epidemiology, Transfusion, The Pediatric Infectious Disease Journal 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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