Steven J. Bots

19 papers receiving 805 citations

Peers

Steven J. Bots
Comparison fields: 5 of 61
  • Genetics 643
  • Hepatology 39
  • Critical Care and Intensive Care Medicine 15
  • Health Informatics 6
  • Immunology 34
Replace Dharshan Sathananthan with:
Dharshan Sathananthan Australia
Shawn Tinlin Canada
Aušrinė Barakauskienė Lithuania
Elisabetta Lolli Italy
Miriam Wiestler Germany
Robert A. Adair United Kingdom
Stephanie K. Watson United Kingdom
Amélie Barré France
Sabrina Zidi Tunisia
Narsing R. Thummala United States
Steven J. Bots relative to Dharshan Sathananthan Australia Dharshan Sathananthan's profile →
Citations per field
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Dharshan Sathananthan · 1×
Citations per year

Countries citing papers authored by Steven J. Bots

Since Specialization
Citations

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

Fields of papers citing papers by Steven J. Bots

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 202188
2 201884
3 202280
4 202273
5 201464
6 202161
7 201848
8 202146
9 201545
10 202245
11 202143
12 201541
13 201936
14 202133
15 202324
16
Patterns of anti-TNF use and associated treatment outcomes in inflammatory bowel disease patients: results from an analysis of Dutch health insurance claims data.
20178
17 20176
18 20215
19 20163

About Steven J. Bots

Steven J. Bots is a scholar working on Genetics, Hepatology, Immunology, Public Health, Environmental and Occupational Health and Molecular Biology, having authored 19 papers that have together received 833 indexed citations. Recurring topics across this work include Inflammatory Bowel Disease (17 papers), Biosimilars and Bioanalytical Methods (1 paper), Pregnancy and Medication Impact (1 paper), TGF-β signaling in diseases (1 paper) and Hepatocellular Carcinoma Treatment and Prognosis (1 paper). The work is most often cited by research in Genetics (643 citations), Hepatology (39 citations), Critical Care and Intensive Care Medicine (15 citations), Health Informatics (6 citations) and Immunology (34 citations). Steven J. Bots has collaborated with scholars based in Netherlands, Norway and Canada. Frequent co-authors include Geert D’Haens, Krisztina Barbara Gecse, Mark Löwenberg, Kim Nylund, Floris A. E. de Voogd, Odd Helge Gilja, Elsa A. van Wassenaer, Murray L. Barclay, Cyriel Y. Ponsioen and Anne S. Strik. Their work appears in journals such as Journal of Crohn s and Colitis, Inflammatory Bowel Diseases, Gastroenterology, Clinical Gastroenterology and Hepatology and Scandinavian Journal of Gastroenterology.

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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