Иван Рева

670 citations
43 papers · 541 · h-index 13

Impact in

    • Bacterial Identification and Susceptibility Testing
    • Antimicrobial Resistance in Staphylococcus
    • Clostridium difficile and Clostridium perfringens research

Papers in

Иван Рева

33 papers receiving 520 citations

Peers

Иван Рева
Comparison fields: 5 of 66
  • Clinical Biochemistry 187
  • Infectious Diseases 457
  • Molecular Medicine 25
  • Molecular Biology 331
  • Microbiology 21
Replace Nobuhiro Iwakura with:
Nobuhiro Iwakura Japan
A.F. vanBelkum Netherlands
Maria Sangvik Norway
H. Pomeroy Ireland
Avanish K. Varshney United States
Sharmin Baig Denmark
Santiago M. Lattar Argentina
Gunnar Sander Germany
Ricardo Videla United States
Marjorie Pizarro‐Guajardo Chile
Иван Рева relative to Nobuhiro Iwakura Japan Nobuhiro Iwakura's profile →
Citations per field
00.5×1.5×2.3×
Nobuhiro Iwakura · 1×
Citations per year

Countries citing papers authored by Иван Рева

Since Specialization
Citations

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

Fields of papers citing papers by Иван Рева

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007147
2 201357
3 200750
4 201542
5 201236
6 201126
7 201221
8 200921
9 201019
10 201618
11 201413
12 201213
13 201212
14 20208
15 20117
16 20127
17 20135
18 20124
19 20144
20 20174

About Иван Рева

Иван Рева is a scholar working on Infectious Diseases, Molecular Biology, Public Health, Environmental and Occupational Health, Epidemiology and Surgery, having authored 43 papers that have together received 541 indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (13 papers), Bacterial biofilms and quorum sensing (10 papers), Streptococcal Infections and Treatments (8 papers), Bacterial Identification and Susceptibility Testing (5 papers), Helicobacter pylori-related gastroenterology studies (3 papers), Microbial Metabolism and Applications (2 papers), Veterinary medicine and infectious diseases (2 papers) and Wound Healing and Treatments (2 papers). The work is most often cited by research in Clinical Biochemistry (187 citations), Infectious Diseases (457 citations), Molecular Medicine (25 citations), Molecular Biology (331 citations) and Microbiology (21 citations). Иван Рева has collaborated with scholars based in Japan, Russia and Taiwan. Frequent co-authors include Wataru Higuchi, Tatsuo Yamamoto, Tomomi Takano, Yasuhisa Iwao, Shizuka Yabe, Kyoko Ozaki, Misao Takano, Akihito Nishiyama, Taketo Otsuka and Hirokazu Isobe. Their work appears in journals such as PLoS ONE, Antimicrobial Agents and Chemotherapy, Journal of Microbiology Immunology and Infection, The Journal of General and Applied Microbiology and Bulletin of Experimental Biology and Medicine.

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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