J. Camps

811 citations
20 papers · 663 indexed · h-index 8

J. Camps

20 papers receiving 625 citations

Peers

J. Camps
Comparison fields: 5 of 66
  • Hepatology 539
  • Epidemiology 485
  • Rheumatology 115
  • Microbiology 37
  • Infectious Diseases 78
Replace Vincenzo Guadagnino with:
Vincenzo Guadagnino Italy
Masaaki Mizui Japan
Zelma Buskell‐Bales United States
José María Sánchez-Tapias Spain
E. A. B. McCruden United Kingdom
Adílson José de Almeida Brazil
Rabab Fouad Egypt
Åsa Alsiö Sweden
B. Berris Canada
David Ipe United States
J. Camps relative to Vincenzo Guadagnino Italy Vincenzo Guadagnino's profile →
Citations per field
00.5×1.5×2.1×
Vincenzo Guadagnino · 1×
Citations per year

Countries citing papers authored by J. Camps

Since Specialization
Citations

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

Fields of papers citing papers by J. Camps

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20111
2 20092
3 20051
4 1996275
5
Pathophysiology of hepatitis C virus infection.
19953
6 199436
7
[Nephrotoxicity caused by diclofenac].
19943
8 199373
9
Diameter growth dynamics of an undisturbed primary forest: analysis of period of transit among diameter classes
19933
10 199355
11 199375
12 199326
13 199213
14 199284
15
[Detection of hepatitis B virus DNA in serum by gene amplification in patients with chronic hepatitis B and in patients chronic hepatitis C].
19922
16
Hyperacute rejection in liver transplantation: morphological and clinical characteristics.
19923
17 19911
18 19912
19 19902
20 19893

About J. Camps

J. Camps is a scholar working on Hepatology, Transplantation and Epidemiology, having authored 20 papers that have together received 663 indexed citations. Recurring topics across this work include Hepatitis C virus research (12 papers), Liver Disease Diagnosis and Treatment (9 papers), Hepatitis B Virus Studies (6 papers), Systemic Lupus Erythematosus Research (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), MRI in cancer diagnosis (1 paper), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper) and Liver Disease and Transplantation (1 paper). The work is most often cited by research in Hepatology (539 citations), Epidemiology (485 citations) and Rheumatology (115 citations). J. Camps has collaborated with scholars based in Spain and United Kingdom. Frequent co-authors include M.P. Civeira, Jesús Prìeto, José Ignacio Riezu‐Boj, Juan Ignacio Esteban, Teresa Piñeiro-Otero, Jordi Gómez, Josep Quer, Beatriz Cabot, Rafael Esteban and Alberto Castilla. Their work appears in journals such as New England Journal of Medicine, Cancer Research and Gut.

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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