D.F.M. van de Wiel

68 total papers · 1.5k total citations
50 papers, 1.2k citations indexed

About

D.F.M. van de Wiel is a scholar working on Agronomy and Crop Science, Genetics and Small Animals. According to data from OpenAlex, D.F.M. van de Wiel has authored 50 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Agronomy and Crop Science, 20 papers in Genetics and 17 papers in Small Animals. Recurrent topics in D.F.M. van de Wiel's work include Reproductive Physiology in Livestock (25 papers), Genetic and phenotypic traits in livestock (17 papers) and Animal Behavior and Welfare Studies (15 papers). D.F.M. van de Wiel is often cited by papers focused on Reproductive Physiology in Livestock (25 papers), Genetic and phenotypic traits in livestock (17 papers) and Animal Behavior and Welfare Studies (15 papers). D.F.M. van de Wiel collaborates with scholars based in Netherlands, China and Serbia. D.F.M. van de Wiel's co-authors include B.S. Prakash, H.H.D. Meyer, E. Schallenberger, A.A.J. van Landeghem, J. H. F. Erkens, A.H. Willemse, Weili Zhang, Jason C.H. Shih, Alex Bossers and G.J. Garssen and has published in prestigious journals such as The Journal of Infectious Diseases, Biology of Reproduction and Meat Science.

In The Last Decade

D.F.M. van de Wiel

49 papers receiving 1.1k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
D.F.M. van de Wiel 583 350 337 329 210 50 1.2k
C.A. Kiddy 527 0.9× 335 1.0× 198 0.6× 529 1.6× 415 2.0× 50 1.4k
M. A. Diekman 445 0.8× 392 1.1× 294 0.9× 231 0.7× 95 0.5× 56 1.2k
Tai‐Young Hur 606 1.0× 227 0.6× 277 0.8× 289 0.9× 298 1.4× 101 1.4k
J. J. Reeves 528 0.9× 361 1.0× 212 0.6× 472 1.4× 133 0.6× 66 1.2k
C. C. Chase 600 1.0× 216 0.6× 121 0.4× 299 0.9× 68 0.3× 32 972
Vearl R. Smith 382 0.7× 130 0.4× 158 0.5× 285 0.9× 189 0.9× 35 1.0k
Bożena Szafrańska 568 1.0× 101 0.3× 196 0.6× 517 1.6× 279 1.3× 55 1.1k
Masayuki Ohtani 966 1.7× 128 0.4× 231 0.7× 372 1.1× 147 0.7× 49 1.3k
B. Biolatti 174 0.3× 333 1.0× 299 0.9× 248 0.8× 421 2.0× 97 1.4k
Mohamed Hammadi 365 0.6× 175 0.5× 125 0.4× 214 0.7× 131 0.6× 100 1.0k

Countries citing papers authored by D.F.M. van de Wiel

Since Specialization
Citations

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

Fields of papers citing papers by D.F.M. van de Wiel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D.F.M. van de Wiel. 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 D.F.M. van de Wiel. The network helps show where D.F.M. van de Wiel may publish in the future.

Co-authorship network of co-authors of D.F.M. van de Wiel

This figure shows the co-authorship network connecting the top 25 collaborators of D.F.M. van de Wiel. A scholar is included among the top collaborators of D.F.M. van de Wiel based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with D.F.M. van de Wiel. D.F.M. van de Wiel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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