W. Wouda

3.6k citations
65 papers · 2.8k · h-index 32

Impact in

  • Parasitology top 0.1%
    • Toxoplasma gondii Research Studies
    • Parasitic Infections and Diagnostics
    • Vector-borne infectious diseases
    • Animal Disease Management and Epidemiology

Papers in

W. Wouda

64 papers receiving 2.6k citations

Peers

W. Wouda
Comparison fields: 5 of 67
  • Parasitology 2.3k
  • Agronomy and Crop Science 809
  • Ecology, Evolution, Behavior and Systematics 692
  • Microbiology 188
  • Infectious Diseases 517
Replace A.C. Odeón with:
A.C. Odeón Argentina
B. C. Barr United States
L E Perryman United States
Lance E. Perryman United States
M.C. Venturini Argentina
Tatsunori Masatani Japan
Timothy B. Crawford United States
C. van Maanen Netherlands
Rafael Calero‐Bernal Spain
J E Barlough United States
W. Wouda relative to A.C. Odeón Argentina A.C. Odeón's profile →
Citations per field
00.5×2.9×
A.C. Odeón · 1×
Citations per year

Countries citing papers authored by W. Wouda

Since Specialization
Citations

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

Fields of papers citing papers by W. Wouda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006242
2 1999181
3 1999160
4 2011146
5 1998136
6 2001136
7 1997119
8 2006111
9 199896
10 199995
11 198292
12 200186
13 200482
14 200280
15 199763
16 200459
17 199855
18 200254
19 200253
20 199751

About W. Wouda

W. Wouda is a scholar working on Parasitology, Agronomy and Crop Science, Ecology, Evolution, Behavior and Systematics, Epidemiology and Microbiology, having authored 65 papers that have together received 2.8k indexed citations. Recurring topics across this work include Toxoplasma gondii Research Studies (33 papers), Animal Disease Management and Epidemiology (20 papers), Parasitic Infections and Diagnostics (16 papers), Vector-Borne Animal Diseases (10 papers), Microbial infections and disease research (8 papers), Herpesvirus Infections and Treatments (6 papers), Rabies epidemiology and control (5 papers) and T-cell and Retrovirus Studies (5 papers). The work is most often cited by research in Parasitology (2.3k citations), Agronomy and Crop Science (809 citations), Ecology, Evolution, Behavior and Systematics (692 citations), Microbiology (188 citations) and Infectious Diseases (517 citations). W. Wouda has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include A. R. Moen, Th Dijkstra, J. P. Dubey, C.J.M. Bartels, Y.H. Schukken, Herman W. Barkema, C. van Maanen, D. Buxton, M. Eysker and J. Brinkhof. Their work appears in journals such as Veterinary Parasitology, Veterinary Quarterly, Theriogenology, Journal of Comparative Pathology and International Journal for Parasitology.

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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