Robert E. Gertz

48 papers receiving 4k citations

Peers

Robert E. Gertz
Comparison fields: 5 of 91
  • Epidemiology 2.6k
  • Molecular Medicine 311
  • Clinical Biochemistry 140
  • Microbiology 179
  • Applied Microbiology and Biotechnology 41
Replace Naruhiko Ishiwada with:
Naruhiko Ishiwada Japan
Fernando Cobo Spain
Elisabeth E. Adderson United States
Ernst Stolz Netherlands
Maria Antonia De Francesco Italy
S Kontiainen Finland
Helle Bossen Konradsen Denmark
Donald R. Nash United States
Fernando Alcaide Spain
Francis Gigliotti United States
Robert E. Gertz relative to Naruhiko Ishiwada Japan Naruhiko Ishiwada's profile →
Citations per field
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Citations per year

Countries citing papers authored by Robert E. Gertz

Since Specialization
Citations

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

Fields of papers citing papers by Robert E. Gertz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006492
2 2008429
3 2005292
4 1994197
5 2008182
6 2006181
7 2015170
8 2011147
9 2016143
10 2013131
11 2017127
12 2003119
13 2008111
14 2017110
15 2016109
16 2010107
17 201295
18
Macrophage colony-stimulating factor mediates invasion of ovarian cancer cells through urokinase.
199575
19 199570
20 201770

About Robert E. Gertz

Robert E. Gertz is a scholar working on Epidemiology, Molecular Medicine, Public Health, Environmental and Occupational Health, Clinical Biochemistry and Microbiology, having authored 48 papers that have together received 4.1k indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (29 papers), Streptococcal Infections and Treatments (5 papers), Antibiotic Resistance in Bacteria (5 papers), Neonatal and Maternal Infections (4 papers), Bacterial Identification and Susceptibility Testing (3 papers), Bacterial Infections and Vaccines (3 papers), Protease and Inhibitor Mechanisms (2 papers) and Cutaneous lymphoproliferative disorders research (2 papers). The work is most often cited by research in Epidemiology (2.6k citations), Molecular Medicine (311 citations), Clinical Biochemistry (140 citations), Microbiology (179 citations) and Applied Microbiology and Biotechnology (41 citations). Robert E. Gertz has collaborated with scholars based in United States, Kenya and United Kingdom. Frequent co-authors include Bernard Beall, Rekha B. Pai, Cynthia G. Whitney, Matthew R. Moore, Lesley McGee, Tamara Pilishvili, Zhongya Li, Lee H. Harrison, Angela B. Brueggemann and Maria da Glória Carvalho. Their work appears in journals such as Journal of Clinical Microbiology, The Journal of Infectious Diseases, Clinical Microbiology and Infection, mBio and Frontiers in Microbiology.

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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