Rob van Hest

30 papers receiving 618 citations

Peers

Rob van Hest
Comparison fields: 5 of 61
  • Infectious Diseases 461
  • Applied Microbiology and Biotechnology 16
  • Pharmacology 41
  • Health Informatics 5
  • Family Practice 5
Replace Anushka Naidoo with:
Anushka Naidoo South Africa
Alberto Piubello France
Martin van den Boom Italy
Justin Shenje South Africa
James Stanford United States
Mezgebe Berhe United States
Claudia Palazzolo Italy
Denise Ward United Kingdom
Ramya Gopinath United States
Jean Pierre Zellweger Switzerland
Rob van Hest relative to Anushka Naidoo South Africa Anushka Naidoo's profile →
Citations per field
00.5×1.5×2×2.5×
Anushka Naidoo · 1×
Citations per year

Countries citing papers authored by Rob van Hest

Since Specialization
Citations

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

Fields of papers citing papers by Rob van Hest

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rob van Hest. 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 Rob van Hest. The network helps show where Rob van Hest may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200498
2 200767
3 201358
4 200538
5 201633
6 201632
7 200631
8 201228
9 202225
10 201024
11 201124
12 201619
13 201819
14 200417
15 201717
16 202017
17 202116
18 200915
19 201115
20 200411

About Rob van Hest

Rob van Hest is a scholar working on Infectious Diseases, Statistics and Probability, Applied Microbiology and Biotechnology, Molecular Medicine and Pharmacology, having authored 30 papers that have together received 643 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (24 papers), Mycobacterium research and diagnosis (2 papers), Census and Population Estimation (2 papers), Antibiotic Use and Resistance (1 paper), Antibiotic Resistance in Bacteria (1 paper), Migration, Health and Trauma (1 paper) and Drug-Induced Hepatotoxicity and Protection (1 paper). The work is most often cited by research in Infectious Diseases (461 citations), Applied Microbiology and Biotechnology (16 citations), Pharmacology (41 citations), Health Informatics (5 citations) and Family Practice (5 citations). Rob van Hest has collaborated with scholars based in Netherlands, United Kingdom and Romania. Frequent co-authors include Gèrard de Vries, Jan Hendrik Richardus, Ibrahim Abubakar, Alistair Story, Andrew C Hayward, Frank G. J. Cobelens, Nico A. Kalisvaart, Sandra Vivian Kik, Martien W. Borgdorff and M. Mensen. Their work appears in journals such as European Respiratory Journal, The International Journal of Tuberculosis and Lung Disease, Journal of Clinical Microbiology, Clinical Infectious Diseases and BMJ Open.

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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