Tim Schutte

831 citations
26 papers · 477 · h-index 13

Impact in

Papers in

Tim Schutte

23 papers receiving 460 citations

Peers

Tim Schutte
Comparison fields: 5 of 77
  • Toxicology 109
  • Geriatrics and Gerontology 61
  • Applied Microbiology and Biotechnology 26
  • Family Practice 10
  • Internal Medicine 15
Replace Carla Torre with:
Carla Torre Portugal
Rasha M. Arabyat Jordan
Else‐Lydia Toverud Norway
Anneke Passier Netherlands
Casey Tak United States
Anastasia Rivkin United States
Jacqueline S. Gardner United States
Mariagrazia Felisi Italy
Mohammed Zawiah Jordan
Khalidah A. Alenzi Saudi Arabia
Tim Schutte relative to Carla Torre Portugal Carla Torre's profile →
Citations per field
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Carla Torre · 1×
Citations per year

Countries citing papers authored by Tim Schutte

Since Specialization
Citations

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

Fields of papers citing papers by Tim Schutte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201599
2
Never ignore extremely elevated D-dimer levels: they are specific for serious illness.
201656
3 201850
4 201734
5 201831
6 201726
7 201526
8 201623
9 201822
10 201618
11 201718
12 202317
13 202317
14 20239
15 20179
16 20188
17 20234
18 20213
19 20232
20 20161

About Tim Schutte

Tim Schutte is a scholar working on Toxicology, Geriatrics and Gerontology, Public Health, Environmental and Occupational Health, Safety Research and Pharmacology, having authored 26 papers that have together received 477 indexed citations. Recurring topics across this work include Pharmacovigilance and Adverse Drug Reactions (5 papers), Pharmaceutical Practices and Patient Outcomes (4 papers), Academic integrity and plagiarism (3 papers), Innovations in Medical Education (3 papers), Antibiotic Use and Resistance (2 papers), Drug-Induced Adverse Reactions (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers) and HER2/EGFR in Cancer Research (2 papers). The work is most often cited by research in Toxicology (109 citations), Geriatrics and Gerontology (61 citations), Applied Microbiology and Biotechnology (26 citations), Family Practice (10 citations) and Internal Medicine (15 citations). Tim Schutte has collaborated with scholars based in Netherlands, Vietnam and Italy. Frequent co-authors include Jelle Tichelaar, Michiel A. van Agtmael, Milan C. Richir, Abel Thijs, Theo P. G. M. de Vries, Eugène van Puijenbroek, Leàn Rolfes, Gurumurthy Parthasarathi, Daisuke Tanaka and Linda Härmark. Their work appears in journals such as Basic & Clinical Pharmacology & Toxicology, ESMO Open, Medical Education, BMC Medical Education and Drug Safety.

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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