David Campos

1.3k total citations · 1 hit paper
9 papers, 873 citations indexed

About

David Campos is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, David Campos has authored 9 papers receiving a total of 873 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Genetics and 2 papers in Surgery. Recurrent topics in David Campos's work include Gut microbiota and health (9 papers), Inflammatory Bowel Disease (4 papers) and Tryptophan and brain disorders (2 papers). David Campos is often cited by papers focused on Gut microbiota and health (9 papers), Inflammatory Bowel Disease (4 papers) and Tryptophan and brain disorders (2 papers). David Campos collaborates with scholars based in Spain, Belgium and Ireland. David Campos's co-authors include Chaysavanh Manichanh, Marta Pozuelo, Francisco Guarner, Alba Santiago, Victoria Pascal, Xavier Martínez, Guillaume Sarrabayrouse, Encarna Varela, Séverine Vermeire and Kathleen Machiels and has published in prestigious journals such as Gut, Scientific Reports and Brain Behavior and Immunity.

In The Last Decade

David Campos

9 papers receiving 862 citations

Hit Papers

A microbial signature for Crohn's disease 2017 2026 2020 2023 2017 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Campos Spain 8 651 285 204 193 111 9 873
Carthage Moran Ireland 9 428 0.7× 226 0.8× 145 0.7× 138 0.7× 122 1.1× 16 688
Victoria Pascal France 5 549 0.8× 243 0.9× 143 0.7× 160 0.8× 89 0.8× 6 754
Dorottya Nagy‐Szakal United States 16 543 0.8× 267 0.9× 125 0.6× 204 1.1× 90 0.8× 24 864
Rinze W. F. ter Steege Netherlands 10 470 0.7× 303 1.1× 167 0.8× 151 0.8× 157 1.4× 14 946
Kozue Takeshita Japan 9 606 0.9× 146 0.5× 135 0.7× 278 1.4× 131 1.2× 14 884
Christopher J. Damman United States 13 529 0.8× 220 0.8× 228 1.1× 381 2.0× 64 0.6× 19 912
Andrzej Wędrychowicz Poland 14 406 0.6× 255 0.9× 140 0.7× 107 0.6× 107 1.0× 30 755
Melissa A. Campaniello Australia 8 510 0.8× 191 0.7× 233 1.1× 396 2.1× 68 0.6× 9 790
Cyrus Tamboli United States 10 428 0.7× 395 1.4× 227 1.1× 172 0.9× 71 0.6× 18 891
Yeneneh Haileselassie United States 14 537 0.8× 186 0.7× 155 0.8× 139 0.7× 90 0.8× 19 957

Countries citing papers authored by David Campos

Since Specialization
Citations

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

Fields of papers citing papers by David Campos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Campos

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

All Works

9 of 9 papers shown
1.
Campos, David, et al.. (2022). The gut microbiota alone and in combination with a social stimulus regulates cocaine reward in the mouse. Brain Behavior and Immunity. 107. 286–291. 13 indexed citations
2.
Moloney, Gerard M., Caitríona M. Long-Smith, Amy Murphy, et al.. (2020). Improvements in sleep indices during exam stress due to consumption of a Bifidobacterium longum. Brain Behavior & Immunity - Health. 10. 100174–100174. 47 indexed citations
3.
Sarrabayrouse, Guillaume, Stefania Landolfi, Marta Pozuelo, et al.. (2020). Mucosal microbial load in Crohn's disease: A potential predictor of response to faecal microbiota transplantation. EBioMedicine. 51. 102611–102611. 23 indexed citations
4.
Machiels, Kathleen, Marta Pozuelo, Zixuan Xie, et al.. (2020). Early Postoperative Endoscopic Recurrence in Crohn’s Disease Is Characterised by Distinct Microbiota Recolonisation. Journal of Crohn s and Colitis. 14(11). 1535–1546. 43 indexed citations
5.
Pascal, Victoria, Marta Pozuelo, Natalia Borruel, et al.. (2017). A microbial signature for Crohn's disease. Gut. 66(5). 813–822. 595 indexed citations breakdown →
6.
Mego, Marianela, Chaysavanh Manichanh, Anna Accarino, et al.. (2017). Metabolic adaptation of colonic microbiota to galactooligosaccharides: a proof‐of‐concept‐study. Alimentary Pharmacology & Therapeutics. 45(5). 670–680. 37 indexed citations
7.
Machiels, Kathleen, Victoria Pascal, João Sabino, et al.. (2017). DOP044 Relationship between microbiota and development of early postoperative Crohn's disease recurrence. Journal of Crohn s and Colitis. 11(suppl_1). S53–S53. 1 indexed citations
8.
Martínez, Xavier, Marta Pozuelo, Victoria Pascal, et al.. (2016). MetaTrans: an open-source pipeline for metatranscriptomics. Scientific Reports. 6(1). 26447–26447. 61 indexed citations
9.
Santiago, Alba, Marta Pozuelo, María Poca, et al.. (2016). Alteration of the serum microbiome composition in cirrhotic patients with ascites. Scientific Reports. 6(1). 25001–25001. 53 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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