Jan Smida

2.9k citations
76 papers · 2.3k · h-index 29

Impact in

  • Microbiology top 0.5%
    • Actinomycetales infections and treatment
    • Cancer-related molecular mechanisms research
    • Cancer Genomics and Diagnostics
    • MicroRNA in disease regulation

Papers in

Jan Smida

71 papers receiving 2.2k citations

Peers

Jan Smida
Comparison fields: 5 of 120
  • Microbiology 181
  • Cancer Research 533
  • Endocrinology 95
  • Molecular Biology 1.2k
  • Pulmonary and Respiratory Medicine 442
Replace Kenji Kaneda with:
Kenji Kaneda Japan
Ainsley C. Nicholson United States
Kenneth C. Malcolm United States
Daniela Börnigen Germany
Christopher D. Johnston United States
Max J. Miller United States
Asa E. Karlsson Sweden
Ronald C. Roberts United States
Taegun Seo South Korea
Elisa Binda Italy
Jan Smida relative to Kenji Kaneda Japan Kenji Kaneda's profile →
Citations per field
00.5×2×3.5×
Kenji Kaneda · 1×
Citations per year

Countries citing papers authored by Jan Smida

Since Specialization
Citations

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

Fields of papers citing papers by Jan Smida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015269
2 1988127
3 1988126
4 1999120
5 1991111
6 1988106
7 1988105
8 201096
9 201779
10 198777
11 201362
12 199862
13 201559
14 201357
15 201252
16 198845
17 200145
18 201743
19 200840
20 198938

About Jan Smida

Jan Smida is a scholar working on Cancer Research, Animal Science and Zoology, Genetics, Molecular Biology and Infectious Diseases, having authored 76 papers that have together received 2.3k indexed citations. Recurring topics across this work include Animal Virus Infections Studies (14 papers), Virus-based gene therapy research (12 papers), Genomics and Phylogenetic Studies (9 papers), Cancer Genomics and Diagnostics (8 papers), Sarcoma Diagnosis and Treatment (8 papers), Cancer-related molecular mechanisms research (8 papers), Cancer-related Molecular Pathways (6 papers) and Viral gastroenteritis research and epidemiology (6 papers). The work is most often cited by research in Microbiology (181 citations), Cancer Research (533 citations), Endocrinology (95 citations), Molecular Biology (1.2k citations) and Pulmonary and Respiratory Medicine (442 citations). Jan Smida has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Erko Stackebrandt, Matthew David Collins, T. Martin Embley, Daniel Baumhoer, Michaela Nathrath, Matthias Dorsch, Gernot Jundt, Michael John Atkinson, Horst F. Zitzelsberger and Eberhard Korsching. Their work appears in journals such as International Journal of Cancer, Oncotarget, Systematic and Applied Microbiology, PLoS ONE and Journal of Histochemistry & Cytochemistry.

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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