Catherine Nathan

44 papers receiving 2.5k citations

Peers

Catherine Nathan
Comparison fields: 5 of 109
  • Applied Microbiology and Biotechnology 255
  • Molecular Medicine 600
  • Critical Care and Intensive Care Medicine 441
  • Infectious Diseases 1.1k
  • Clinical Biochemistry 424
Replace M.W. Casewell with:
M.W. Casewell United Kingdom
James S. Tolson United States
Paola C. DeGirolami United States
Richard A. Venezia United States
W. J. Martone United States
D. Talon France
Sérgio Barsanti Wey Brazil
Tonya S. Henderson United States
Amos M. Yinnon Israel
Mondell L. Beach United States
Catherine Nathan relative to M.W. Casewell United Kingdom M.W. Casewell's profile →
Citations per field
00.5×1.6×
M.W. Casewell · 1×
Citations per year

Countries citing papers authored by Catherine Nathan

Since Specialization
Citations

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

Fields of papers citing papers by Catherine Nathan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998341
2 1996302
3 2001163
4 1987158
5 2003132
6 2000127
7 1984123
8 2003108
9 198098
10 198092
11 199774
12 199573
13 199072
14 198969
15 198264
16 198460
17 199857
18 200156
19 200452
20 198348

About Catherine Nathan

Catherine Nathan is a scholar working on Infectious Diseases, Molecular Medicine, Pharmacology, Molecular Biology and Surgery, having authored 46 papers that have together received 2.8k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (17 papers), Antimicrobial Resistance in Staphylococcus (13 papers), Antibiotics Pharmacokinetics and Efficacy (9 papers), Nosocomial Infections in ICU (6 papers), Bacterial biofilms and quorum sensing (6 papers), Pancreatitis Pathology and Treatment (5 papers), Infection Control in Healthcare (4 papers) and Bacterial Identification and Susceptibility Testing (4 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (255 citations), Molecular Medicine (600 citations), Critical Care and Intensive Care Medicine (441 citations), Infectious Diseases (1.1k citations) and Clinical Biochemistry (424 citations). Catherine Nathan has collaborated with scholars based in United States, France and Netherlands. Frequent co-authors include Robert A. Weinstein, S. A. Kabins, Mary K. Hayden, Sarah Slaughter, Thomas W. Rice, Marc J. M. Bonten, Sidney Cohen, Anton W. Ambergen, Marian Matushek and William Chamberlin. Their work appears in journals such as The Journal of Infectious Diseases, Antimicrobial Agents and Chemotherapy, Clinical Infectious Diseases, Diagnostic Microbiology and Infectious Disease and Journal of the American Geriatrics Society.

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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