Claudia Herrera‐deGuise

73 total papers · 707 total citations
31 papers, 399 citations indexed

About

Claudia Herrera‐deGuise is a scholar working on Genetics, Epidemiology and Surgery. According to data from OpenAlex, Claudia Herrera‐deGuise has authored 31 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Genetics, 14 papers in Epidemiology and 8 papers in Surgery. Recurrent topics in Claudia Herrera‐deGuise's work include Inflammatory Bowel Disease (18 papers), Microscopic Colitis (9 papers) and Gut microbiota and health (5 papers). Claudia Herrera‐deGuise is often cited by papers focused on Inflammatory Bowel Disease (18 papers), Microscopic Colitis (9 papers) and Gut microbiota and health (5 papers). Claudia Herrera‐deGuise collaborates with scholars based in Spain, United Kingdom and Belgium. Claudia Herrera‐deGuise's co-authors include Natalia Borruel, Francesc Casellas, Virginia Robles, A.N. Adams, M. F. Clark, David L. Davies, L Mayorga, Francisco Guarner, Guillaume Sarrabayrouse and Chaysavanh Manichanh and has published in prestigious journals such as Nutrients, Radiotherapy and Oncology and Cells.

In The Last Decade

Claudia Herrera‐deGuise

26 papers receiving 380 citations

Hit Papers

World Gastroenterology Or... 2024 2026 2024 10 20 30 40 50

Author Peers

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

Author Last Decade Papers Cites
Claudia Herrera‐deGuise 158 100 99 73 50 31 399
Priyanka Gaur 25 0.2× 85 0.8× 98 1.0× 49 0.7× 38 0.8× 42 433
Colin R. Macpherson 46 0.3× 45 0.5× 68 0.7× 20 0.3× 35 0.7× 38 429
Akiko Sakuma 69 0.4× 41 0.4× 163 1.6× 16 0.2× 36 0.7× 32 416
J Sanderson 150 0.9× 98 1.0× 103 1.0× 7 0.1× 73 1.5× 45 439
Dongsheng Niu 32 0.2× 54 0.5× 100 1.0× 45 0.6× 47 0.9× 37 381
Thaís B. Bertolini 171 1.1× 40 0.4× 172 1.7× 13 0.2× 17 0.3× 25 443
Theodor Nasemann 94 0.6× 124 1.2× 54 0.5× 27 0.4× 24 0.5× 59 392
Hae‐Jin Hu 143 0.9× 21 0.2× 254 2.6× 41 0.6× 24 0.5× 24 438
Kaori Fujiwara 49 0.3× 94 0.9× 87 0.9× 14 0.2× 62 1.2× 45 411
Silvia Benali 37 0.2× 45 0.5× 51 0.5× 29 0.4× 42 0.8× 30 416

Countries citing papers authored by Claudia Herrera‐deGuise

Since Specialization
Citations

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

Fields of papers citing papers by Claudia Herrera‐deGuise

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Claudia Herrera‐deGuise. 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 Claudia Herrera‐deGuise. The network helps show where Claudia Herrera‐deGuise may publish in the future.

Co-authorship network of co-authors of Claudia Herrera‐deGuise

This figure shows the co-authorship network connecting the top 25 collaborators of Claudia Herrera‐deGuise. A scholar is included among the top collaborators of Claudia Herrera‐deGuise 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 Claudia Herrera‐deGuise. Claudia Herrera‐deGuise 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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