Inna Chmelnitsky

2.3k citations
38 papers · 1.9k indexed · h-index 25

Inna Chmelnitsky

38 papers receiving 1.9k citations

Peers

Inna Chmelnitsky
Comparison fields: 5 of 78
  • Molecular Medicine 1.6k
  • Applied Microbiology and Biotechnology 279
  • Endocrinology 703
  • Clinical Biochemistry 349
  • Pollution 357
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N. Woodford United Kingdom
Annarita Mazzariol Italy
Marie-France I. Palepou United Kingdom
Danai Sofianou Greece
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Alain A. Ocampo-Sosa Spain
Eun-Jeong Yoon South Korea
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Citations per year

Countries citing papers authored by Inna Chmelnitsky

Since Specialization
Citations

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

Fields of papers citing papers by Inna Chmelnitsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201433
2 201329
3 201239
4 201226
5 201276
6 201115
7 2010116
8 2010104
9 200960
10 200984
11
Screening of Plasmid-Mediated Quinolone Resistant (pfqr) Determinants in Esbl-Producing (esbl-p) and Kpc-Producing Klebsiella Pneumonia ( Kpc Kpn ) Isolates from Israel
20081
12 200839
13 200835
14 200716
15 200719
16 2006257
17 200631
18 200436
19 20036
20 20025

About Inna Chmelnitsky

Inna Chmelnitsky is a scholar working on Molecular Medicine, Endocrinology, Clinical Biochemistry, Infectious Diseases and Pollution, having authored 38 papers that have together received 1.9k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (25 papers), Antimicrobial Resistance in Staphylococcus (10 papers), Bacterial biofilms and quorum sensing (9 papers), Bacterial Identification and Susceptibility Testing (8 papers), Enterobacteriaceae and Cronobacter Research (7 papers), Plant Molecular Biology Research (6 papers), Plant Reproductive Biology (6 papers) and Plant Pathogenic Bacteria Studies (4 papers). The work is most often cited by research in Molecular Medicine (1.6k citations), Applied Microbiology and Biotechnology (279 citations), Endocrinology (703 citations), Clinical Biochemistry (349 citations) and Pollution (357 citations). Inna Chmelnitsky has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Shiri Navon‐Venezia, Yehuda Carmeli, Azita Leavitt, Mitchell J. Schwaber, David A. Schwartz, Moran G. Goren, Itzhak Ofek, Ronen Ben‐Ami, Michael Giladi and Vered Schechner. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Journal of Clinical Microbiology, European Journal of Clinical Microbiology & Infectious Diseases, Journal of Antimicrobial Chemotherapy and Plant Growth Regulation.

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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