J Sláma

2.6k citations
95 papers · 1.6k · h-index 23

Impact in

Papers in

J Sláma

90 papers receiving 1.5k citations

Peers

J Sláma
Comparison fields: 5 of 93
  • Obstetrics and Gynecology 866
  • Reproductive Medicine 371
  • Epidemiology 362
  • Rehabilitation 69
  • Oncology 157
Replace W. Weikel with:
W. Weikel Germany
Harrison Ball United States
Basile Tessier‐Cloutier Canada
Rosanna Fontanelli Italy
Michael K. Cheung United States
Mitsuya Ishikawa Japan
A. Berchuck United States
Joseph T. Chambers United States
Nobuhiro Takeshima Japan
Chien-Sheng Tsai Taiwan
J Sláma relative to W. Weikel Germany W. Weikel's profile →
Citations per field
00.5×5×10×13.8×
W. Weikel · 1×
Citations per year

Countries citing papers authored by J Sláma

Since Specialization
Citations

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

Fields of papers citing papers by J Sláma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994186
2 2007124
3 2012106
4 201591
5 201080
6 201373
7 200965
8 200943
9 201843
10 200840
11 201338
12 201638
13 200736
14 200932
15 201631
16 201828
17 202127
18 201627
19 201826
20 198524

About J Sláma

J Sláma is a scholar working on Obstetrics and Gynecology, Epidemiology, Reproductive Medicine, Surgery and Otorhinolaryngology, having authored 95 papers that have together received 1.6k indexed citations. Recurring topics across this work include Endometrial and Cervical Cancer Treatments (32 papers), Cervical Cancer and HPV Research (19 papers), Ovarian cancer diagnosis and treatment (14 papers), Endometriosis Research and Treatment (3 papers), Head and Neck Cancer Studies (3 papers), Metabolism and Genetic Disorders (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Lymphatic Disorders and Treatments (2 papers). The work is most often cited by research in Obstetrics and Gynecology (866 citations), Reproductive Medicine (371 citations), Epidemiology (362 citations), Rehabilitation (69 citations) and Oncology (157 citations). J Sláma has collaborated with scholars based in Czechia, United States and Germany. Frequent co-authors include David Cibula, D. Fischerová, Michal Zikán, Pavel Dundr, Ladislav Dušek, P Freitag, Clive Page, Roman Kocián, Dimitrios Hatzis and Christoph Andree. Their work appears in journals such as International Journal of Gynecological Cancer, Gynecologic Oncology, Ultrasound in Obstetrics and Gynecology, Journal of Clinical Virology and British Journal of Cancer.

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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