Abiel Roche-Lima

609 citations
47 papers · 391 · h-index 9

Impact in

Papers in

Abiel Roche-Lima

44 papers receiving 388 citations

Peers

Abiel Roche-Lima
Comparison fields: 5 of 89
  • Health Informatics 29
  • Cardiology and Cardiovascular Medicine 118
  • Health Information Management 18
  • Radiology, Nuclear Medicine and Imaging 40
  • Issues, ethics and legal aspects 2
Replace Iain S. Forrest with:
Iain S. Forrest United States
Yeongsic Kim South Korea
Kim Erlend Mortensen Norway
Phyllis Thangaraj United States
Yinan Huang United States
Ahmad Alimadadi United States
João Pereira Netherlands
Hongjin Zhao China
Akram Mohammed United States
Wenwen Zhang China
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Citations per field
00.5×10×12.8×
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Citations per year

Countries citing papers authored by Abiel Roche-Lima

Since Specialization
Citations

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

Fields of papers citing papers by Abiel Roche-Lima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Abiel Roche-Lima. 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 Abiel Roche-Lima. The network helps show where Abiel Roche-Lima may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201996
2 202040
3 202029
4 201929
5 201923
6 202119
7 201914
8 201812
9 202110
10 20228
11 20228
12 20227
13 20197
14 20246
15 20216
16 20245
17 20215
18 20185
19 20145
20 20215

About Abiel Roche-Lima

Abiel Roche-Lima is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Infectious Diseases, Surgery and Public Health, Environmental and Occupational Health, having authored 47 papers that have together received 391 indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (4 papers), Machine Learning in Bioinformatics (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), HIV Research and Treatment (3 papers), Gut microbiota and health (2 papers), Pharmacogenetics and Drug Metabolism (2 papers), Artificial Intelligence in Healthcare (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Health Informatics (29 citations), Cardiology and Cardiovascular Medicine (118 citations), Health Information Management (18 citations), Radiology, Nuclear Medicine and Imaging (40 citations) and Issues, ethics and legal aspects (2 citations). Abiel Roche-Lima has collaborated with scholars based in Puerto Rico, United States and Canada. Frequent co-authors include Dagmar F. Hernández-Suárez, Angel López‐Candales, José Wiley, Harish Ramakrishna, Pedro Villablanca, Pedro Cox‐Alomar, Cristina Sanina, Jorgé Duconge, Azeem Latib and Yeunjung Kim. Their work appears in journals such as International Journal of Molecular Sciences, Frontiers in Genetics, Scientific Reports, International Journal of Environmental Research and Public Health and npj Genomic Medicine.

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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