Deepak Chikkaballi

472 citations
7 papers · 340 · h-index 6

Impact in

    • Vibrio bacteria research studies
    • Escherichia coli research studies
  • Food Science top 10%
    • Salmonella and Campylobacter epidemiology

Papers in

Deepak Chikkaballi

7 papers receiving 333 citations

Peers

Deepak Chikkaballi
Comparison fields: 5 of 59
  • Endocrinology 119
  • Food Science 140
  • Biotechnology 34
  • Infectious Diseases 66
  • Cell Biology 47
Replace Regina A. Günster with:
Regina A. Günster United Kingdom
Anna Leoni Swart Switzerland
Krzysztof Grzymajło Poland
June Kopelowitz Israel
Mónica Nancy Giacomodonato Argentina
Syed Fazle Rouf Sweden
Sara Lucchini United Kingdom
Manon Rosselin France
Markus Furter Switzerland
Sze Ying Ong Australia
Deepak Chikkaballi relative to Regina A. Günster United Kingdom Regina A. Günster's profile →
Citations per field
00.5×2×3.1×
Regina A. Günster · 1×
Citations per year

Countries citing papers authored by Deepak Chikkaballi

Since Specialization
Citations

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

Fields of papers citing papers by Deepak Chikkaballi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Deepak Chikkaballi, 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 Deepak Chikkaballi Line = papers co-authored together Deepak Chikkaballi links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2017106
2 201168
3 201462
4 201047
5 201430
6 201221
7 20206

About Deepak Chikkaballi

Deepak Chikkaballi is a scholar working on Endocrinology, Food Science, Cell Biology, Molecular Biology and Biotechnology, having authored 7 papers that have together received 340 indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (4 papers), Salmonella and Campylobacter epidemiology (4 papers), Vibrio bacteria research studies (4 papers), Cellular transport and secretion (2 papers), Fungal and yeast genetics research (1 paper), Cancer Research and Treatments (1 paper), Genomics and Phylogenetic Studies (1 paper) and Streptococcal Infections and Treatments (1 paper). The work is most often cited by research in Endocrinology (119 citations), Food Science (140 citations), Biotechnology (34 citations), Infectious Diseases (66 citations) and Cell Biology (47 citations). Deepak Chikkaballi has collaborated with scholars based in Germany and India. Frequent co-authors include Michael Hensel, Jonathan Jantsch, Yuying Zhang, Viktoria Liss, David Liebl, Anna Leoni Swart, Jörg Deiwick, Petr Chlanda, Bernd Giese and Susanne Engelmann. Their work appears in journals such as PLoS ONE, Immunological Reviews, PLoS Pathogens, Infection and Immunity and Cell Host & Microbe.

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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