Joan Borràs

2.7k citations
39 papers · 2.1k indexed · 1 hit paper · h-index 17

Joan Borràs

37 papers receiving 2.0k citations

Hit Papers

Epidemiology of Primary Liver Cancer7891999202620082017250500750

Peers

Joan Borràs
Comparison fields: 5 of 120
  • Hepatology 464
  • Cancer Research 449
  • Oncology 589
  • Epidemiology 716
  • Obstetrics and Gynecology 81
Replace Renumathy Dhanasekaran with:
Renumathy Dhanasekaran United States
Da Xu China
Jonathan M. Hernandez United States
Gennaro Daniele Italy
Jun Gong United States
W P Tong United States
Amit A. Lugade United States
Yinying Lu China
Erika Cecchin Italy
John B. Kisiel United States
Joan Borràs relative to Renumathy Dhanasekaran United States Renumathy Dhanasekaran's profile →
Citations per field
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Renumathy Dhanasekaran · 1×
Citations per year

Countries citing papers authored by Joan Borràs

Since Specialization
Citations

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

Fields of papers citing papers by Joan Borràs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20230
2 20220
3 20203
4 201910
5 20193
6 201613
7 201613
8 201522
9 201311
10 201026
11 20083
12 200817
13 200744
14 200612
15 200513
16 200475
17 2003232
18 200390
19 200132
20 2000239

About Joan Borràs

Joan Borràs is a scholar working on Oncology, Gastroenterology, Genetics, Cancer Research and Immunology and Allergy, having authored 39 papers that have together received 2.1k indexed citations. Recurring topics across this work include Global Cancer Incidence and Screening (8 papers), BRCA gene mutations in cancer (7 papers), Cancer Risks and Factors (7 papers), Colorectal Cancer Screening and Detection (5 papers), DNA Repair Mechanisms (4 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Cancer, Lipids, and Metabolism (4 papers) and Genetic factors in colorectal cancer (3 papers). The work is most often cited by research in Hepatology (464 citations), Cancer Research (449 citations), Oncology (589 citations), Epidemiology (716 citations) and Obstetrics and Gynecology (81 citations). Joan Borràs has collaborated with scholars based in Spain, United Kingdom and France. Frequent co-authors include F. Xavier Bosch, Josepa Ribes, Vı́ctor Moreno, Josep Gumà, Sandra Guaita‐Esteruelas, L. Masana, A. Paloma Vizcaino, Juan Miguel Barros-Dios, Donald Maxwell Parkin and Jaume Galcerán. Their work appears in journals such as Clinical & Translational Oncology, The Journal of Urology, International Journal of Cancer, SpringerPlus and Scientific Reports.

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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