Jan Stuchlý

1.3k citations
29 papers · 548 · h-index 15

Impact in

Papers in

Jan Stuchlý

25 papers receiving 540 citations

Peers

Jan Stuchlý
Comparison fields: 5 of 59
  • Hematology 195
  • Public Health, Environmental and Occupational Health 208
  • Immunology 132
  • Genetics 51
  • Pathology and Forensic Medicine 67
Replace Marina García-Peydró with:
Marina García-Peydró Spain
Sudhir Tauro United Kingdom
Claire Abbal France
Barbara H. Barendregt Netherlands
Jan‐Henrik Mikesch Germany
Patricia Stow United States
G J Tibbe Netherlands
Wan‐Ling Ho Taiwan
Arlene Redner United States
Barbara Buldini Italy
Jan Stuchlý relative to Marina García-Peydró Spain Marina García-Peydró's profile →
Citations per field
00.5×1.5×2.4×
Marina García-Peydró · 1×
Citations per year

Countries citing papers authored by Jan Stuchlý

Since Specialization
Citations

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

Fields of papers citing papers by Jan Stuchlý

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201971
2 201958
3 201753
4 201037
5 202032
6 201931
7 201028
8 201626
9 201225
10 201825
11 201724
12 201721
13 201120
14 200919
15 201917
16 201514
17 202114
18 201610
19 201110
20 20167

About Jan Stuchlý

Jan Stuchlý is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Hematology, Immunology and Genetics, having authored 29 papers that have together received 548 indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (9 papers), Acute Myeloid Leukemia Research (5 papers), Immunodeficiency and Autoimmune Disorders (5 papers), Immune Cell Function and Interaction (5 papers), Single-cell and spatial transcriptomics (4 papers), Chronic Lymphocytic Leukemia Research (4 papers), Chronic Myeloid Leukemia Treatments (4 papers) and Advanced Biosensing Techniques and Applications (4 papers). The work is most often cited by research in Hematology (195 citations), Public Health, Environmental and Occupational Health (208 citations), Immunology (132 citations), Genetics (51 citations) and Pathology and Forensic Medicine (67 citations). Jan Stuchlý has collaborated with scholars based in Czechia, Norway and Netherlands. Frequent co-authors include Ondřej Hrušák, Tomáš Kalina, Jan Starý, Jan Trka, Markéta Žaliová, Jan Zuna, Karel Fišer, Martina Vašková, Júlia Starková and Petr Hubáček. Their work appears in journals such as Blood, Haematologica, Cytometry Part A, Nature Methods and Frontiers in Immunology.

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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