Sake J. de Vlas

14.9k citations
267 papers · 9.3k indexed · 1 hit paper · h-index 52

Sake J. de Vlas

263 papers receiving 9.0k citations

Hit Papers

Quantification of clinical morbidity associated with schi...7412003202620102018200400600

Peers

Sake J. de Vlas
Comparison fields: 5 of 175
  • Parasitology 3.7k
  • Infectious Diseases 3.6k
  • Modeling and Simulation 532
  • Small Animals 664
  • Public Health, Environmental and Occupational Health 2.5k
Replace Archie C. A. Clements with:
Archie C. A. Clements Australia
Penelope Vounatsou Switzerland
Graham F. Medley United Kingdom
David Molyneux United Kingdom
Ricardo J. Soares Magalhães Australia
T. Déirdre Hollingsworth United Kingdom
Xiao‐Nong Zhou China
Christoph Hatz Switzerland
Albert I. Ko United States
Charles H. King United States
Sake J. de Vlas relative to Archie C. A. Clements Australia Archie C. A. Clements's profile →
Citations per field
00.5×1.5×
Archie C. A. Clements · 1×
Citations per year

Countries citing papers authored by Sake J. de Vlas

Since Specialization
Citations

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

Fields of papers citing papers by Sake J. de Vlas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20246
2 20243
3 20243
4 20241
5 20243
6 202116
7 20211
8 202114
9 202018
10 202012
11 202016
12 202018
13 202028
14 20188
15 201821
16 201528
17 201410
18 201163
19 200311
20 200257

About Sake J. de Vlas

Sake J. de Vlas is a scholar working on Parasitology, Infectious Diseases and Modeling and Simulation, having authored 267 papers that have together received 9.3k indexed citations. Recurring topics across this work include Parasites and Host Interactions (97 papers), Parasite Biology and Host Interactions (58 papers), Parasitic Diseases Research and Treatment (49 papers), Global Maternal and Child Health (36 papers), HIV/AIDS Research and Interventions (35 papers), COVID-19 epidemiological studies (26 papers), Mosquito-borne diseases and control (25 papers) and Sex work and related issues (22 papers). The work is most often cited by research in Parasitology (3.7k citations), Infectious Diseases (3.6k citations) and Modeling and Simulation (532 citations). Sake J. de Vlas has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent co-authors include J. Dik F. Habbema, B. Gryseels, Jan Hendrik Richardus, Nico Nagelkerke, Wilma A. Stolk, Dirk Engels, Luc E. Coffeng, Marieke J. van der Werf, Caspar W.N. Looman and Roel Bakker. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

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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