Hana Štěpánová

711 citations
36 papers · 550 · h-index 15

Impact in

Papers in

    • Immune Response and Inflammation 6
    • Immune Cell Function and Interaction 4
    • Immunotherapy and Immune Responses 4
    • T-cell and B-cell Immunology 3
    • Salmonella and Campylobacter epidemiology 11

Hana Štěpánová

34 papers receiving 546 citations

Peers

Hana Štěpánová
Comparison fields: 5 of 77
  • Animal Science and Zoology 138
  • Microbiology 60
  • Immunology 173
  • Small Animals 57
  • Food Science 143
Replace Alexander Van Parys with:
Alexander Van Parys Belgium
Xiaocheng Pan China
Zhiguang Wu United Kingdom
Yuncai Xiao China
Tadele G. Kiros Canada
Hana Kudláčková Czechia
Mohammad Hadi Sekhavati Iran
J. Protais France
J.A. Wagenaar Netherlands
Virginia K. Lowry United States
Hana Štěpánová relative to Alexander Van Parys Belgium Alexander Van Parys's profile →
Citations per field
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Alexander Van Parys · 1×
Citations per year

Countries citing papers authored by Hana Štěpánová

Since Specialization
Citations

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

Fields of papers citing papers by Hana Štěpánová

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201275
2 201147
3 201732
4 201229
5 201229
6 200829
7 201724
8 201422
9 201221
10 201221
11 201320
12 200719
13 201718
14 201418
15 201918
16 201213
17 201413
18 202012
19 201112
20 201412

About Hana Štěpánová

Hana Štěpánová is a scholar working on Immunology, Food Science, Infectious Diseases, Animal Science and Zoology and Epidemiology, having authored 36 papers that have together received 550 indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (11 papers), Animal Virus Infections Studies (9 papers), Viral gastroenteritis research and epidemiology (8 papers), Immune Response and Inflammation (6 papers), Immune Cell Function and Interaction (4 papers), Immunotherapy and Immune Responses (4 papers), T-cell and B-cell Immunology (3 papers) and Microbial infections and disease research (3 papers). The work is most often cited by research in Animal Science and Zoology (138 citations), Microbiology (60 citations), Immunology (173 citations), Small Animals (57 citations) and Food Science (143 citations). Hana Štěpánová has collaborated with scholars based in Czechia, Germany and Bulgaria. Frequent co-authors include Martin Faldyna, Ivan Rychlı́k, Jiřı́ Volf, Ján Matiašovic, Lenka Levá, Frantisek Šišák, Hana Havlíčková, Marta Matulová, Ondřej Polanský and Zuzana Sekelová. Their work appears in journals such as Veterinary Microbiology, Veterinary Research, Veterinary Immunology and Immunopathology, Frontiers in Immunology and BMC Veterinary Research.

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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