Benoît Goossens

8.6k total citations
155 papers, 4.2k citations indexed

About

Benoît Goossens is a scholar working on Ecology, Social Psychology and Genetics. According to data from OpenAlex, Benoît Goossens has authored 155 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 107 papers in Ecology, 66 papers in Social Psychology and 50 papers in Genetics. Recurrent topics in Benoît Goossens's work include Wildlife Ecology and Conservation (89 papers), Primate Behavior and Ecology (66 papers) and Genetic diversity and population structure (30 papers). Benoît Goossens is often cited by papers focused on Wildlife Ecology and Conservation (89 papers), Primate Behavior and Ecology (66 papers) and Genetic diversity and population structure (30 papers). Benoît Goossens collaborates with scholars based in United Kingdom, Malaysia and United States. Benoît Goossens's co-authors include Michael W. Bruford, Marc Ancrenaz, Lounès Chikhi, Pierre Taberlet, Lisette P. Waits, Isabelle Lackman‐Ancrenaz, Laurentius Ambu, Patrick Andau, Senthilvel K. S. S. Nathan and Mark Beaumont and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Scientific Reports.

In The Last Decade

Benoît Goossens

150 papers receiving 3.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Benoît Goossens United Kingdom 38 2.6k 1.5k 1.3k 792 523 155 4.2k
Uma Ramakrishnan India 37 1.9k 0.7× 1.7k 1.1× 506 0.4× 830 1.0× 392 0.7× 164 4.0k
Katharine Abernethy United Kingdom 35 2.1k 0.8× 674 0.5× 957 0.8× 735 0.9× 730 1.4× 79 3.9k
Sarah M. Durant United Kingdom 35 3.0k 1.1× 753 0.5× 736 0.6× 883 1.1× 410 0.8× 95 4.2k
Fuwen Wei China 45 3.2k 1.2× 1.4k 1.0× 992 0.8× 1.1k 1.4× 575 1.1× 225 6.1k
William B. Sherwin Australia 38 2.9k 1.1× 2.1k 1.4× 440 0.3× 1.2k 1.5× 509 1.0× 92 5.0k
David S. Woodruff United States 38 2.4k 0.9× 2.1k 1.4× 791 0.6× 1.2k 1.6× 724 1.4× 95 5.0k
Francesco Rovero Italy 36 3.2k 1.2× 558 0.4× 920 0.7× 808 1.0× 850 1.6× 115 4.5k
Jesús E. Maldonado United States 39 2.9k 1.1× 1.9k 1.3× 286 0.2× 878 1.1× 354 0.7× 187 4.3k
Philip W. Bateman Australia 35 2.4k 0.9× 1.1k 0.7× 426 0.3× 2.1k 2.6× 1.0k 1.9× 188 4.7k
Don J. Melnick United States 39 1.3k 0.5× 1.5k 1.0× 2.0k 1.6× 1.5k 1.9× 987 1.9× 98 4.4k

Countries citing papers authored by Benoît Goossens

Since Specialization
Citations

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

Fields of papers citing papers by Benoît Goossens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benoît Goossens

This figure shows the co-authorship network connecting the top 25 collaborators of Benoît Goossens. A scholar is included among the top collaborators of Benoît Goossens 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 Benoît Goossens. Benoît Goossens is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Meedeniya, Dulani, Oktay Karakuş, Omer Rana, et al.. (2025). Review on Sustainable Forestry with Artificial Intelligence. ORCA Online Research @Cardiff (Cardiff University). 3(4). 1–48. 1 indexed citations
2.
Derks, Martijn F. L., Ole Madsen, Rebekah L. Rogers, et al.. (2025). Genomics Reveals Distinct Evolutionary Lineages in Asian Elephants. Ecology and Evolution. 15(8). e72019–e72019. 1 indexed citations
3.
Hanya, Goro, Augustine Tuuga, Benoît Goossens, et al.. (2024). Gut microbial community in proboscis monkeys ( Nasalis larvatus ): implications for effects of geographical and social factors. Royal Society Open Science. 11(7). 231756–231756. 3 indexed citations
4.
Goossens, Benoît, Hideo Hasegawa, Takashi Matsumoto, et al.. (2024). Novel insight into the genetic diversity of strongylid nematodes infecting South-East and East Asian primates. Parasitology. 151(5). 514–522.
5.
Matsuda, Ikki, Cyril C. Grueter, Augustine Tuuga, et al.. (2024). The multilevel society of proboscis monkeys with a possible patrilineal basis. Behavioral Ecology and Sociobiology. 78(1). 3 indexed citations
6.
Tsuchida, Sayaka, Benoît Goossens, Danica J. Stark, et al.. (2023). Isolation of Bacteria from Freeze-Dried Samples and the Functional Characterization of Species-Specific Lactic Acid Bacteria with a Comparison of Wild and Captive Proboscis Monkeys. Microorganisms. 11(6). 1458–1458. 1 indexed citations
7.
Abram, Nicola K., et al.. (2022). Understanding the spatial distribution and hot spots of collared Bornean elephants in a multi-use landscape. Scientific Reports. 12(1). 12830–12830. 5 indexed citations
8.
Meijaard, Erik, Douglas Sheil, Julie Sherman, et al.. (2022). Restoring the orangutan in a Whole- or Half-Earth context. Oryx. 57(5). 566–577. 5 indexed citations
9.
Matsuda, Ikki, Danica J. Stark, Augustine Tuuga, et al.. (2020). Large male proboscis monkeys have larger noses but smaller canines. Communications Biology. 3(1). 522–522. 9 indexed citations
10.
William, Timothy, Ampai Tanganuchitcharnchai, Janjira Thaipadungpanit, et al.. (2018). Spotted Fever Rickettsiosis in a Wildlife Researcher in Sabah, Malaysia: A Case Study. Tropical Medicine and Infectious Disease. 3(1). 29–29. 6 indexed citations
11.
Goossens, Benoît, et al.. (2018). Herd demography, sexual segregation and the effects of forest management on Bornean banteng Bos javanicus lowi in Sabah, Malaysian Borneo. Endangered Species Research. 35. 141–157. 6 indexed citations
12.
Nathan, Senthilvel K. S. S., et al.. (2013). First parasitological survey of Endangered Bornean elephants Elephas maximus borneensis. Endangered Species Research. 21(3). 223–230. 14 indexed citations
13.
15.
Alfred, Raymond, Abdul Hamid Ahmad, Junaidi Payne, et al.. (2012). Home Range and Ranging Behaviour of Bornean Elephant (Elephas maximus borneensis) Females. PLoS ONE. 7(2). e31400–e31400. 75 indexed citations
16.
Sharma, Reeta, Benoît Goossens, Célia Kun‐Rodrigues, et al.. (2012). Two Different High Throughput Sequencing Approaches Identify Thousands of De Novo Genomic Markers for the Genetically Depleted Bornean Elephant. PLoS ONE. 7(11). e49533–e49533. 30 indexed citations
17.
Nater, Alexander, Pirmin Nietlisbach, Natasha Arora, et al.. (2011). Sex-Biased Dispersal and Volcanic Activities Shaped Phylogeographic Patterns of Extant Orangutans (genus: Pongo). Molecular Biology and Evolution. 28(8). 2275–2288. 81 indexed citations
18.
Mohamed, Maryati, et al.. (2008). A preliminary study on the morphometrics of the Bornean elephant. ORCA Online Research @Cardiff (Cardiff University). 1 indexed citations
19.
Goossens, Benoît, Lisette P. Waits, & Pierre Taberlet. (1998). Plucked hair samples as a source of DNA: reliability of dinucleotide microsatellite genotyping. Molecular Ecology. 7(9). 1237–1241. 199 indexed citations
20.
Goossens, Benoît, et al.. (1996). [Immigration of a pregnant female in an alpine marmot family group: behavioural and genetic data].. PubMed. 319(3). 241–6. 13 indexed citations

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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