H. G. Suarez

1.9k citations
62 papers · 1.6k indexed · h-index 22

Impact in

Papers in

H. G. Suarez

61 papers receiving 1.5k citations

Peers

H. G. Suarez
Comparison fields: 5 of 89
  • Endocrinology, Diabetes and Metabolism 799
  • Oncology 539
  • Genetics 345
  • Pathology and Forensic Medicine 180
  • Molecular Biology 647
Replace Fabienne Lesueur with:
Fabienne Lesueur France
Giulia Colletta Italy
Kiyohiro Hamatani Japan
Akira Inomata Japan
A L Børresen Norway
Catherine Cavard France
Seong Hoe Park South Korea
Valentina Evdokimova Canada
Ivone M. Takenaka United States
M Remacle-Bonnet France
H. G. Suarez relative to Fabienne Lesueur France Fabienne Lesueur's profile →
Citations per field
00.5×1.5×
Fabienne Lesueur · 1×
Citations per year

Countries citing papers authored by H. G. Suarez

Since Specialization
Citations

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

Fields of papers citing papers by H. G. Suarez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H. G. Suarez. 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 H. G. Suarez. The network helps show where H. G. Suarez may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1
Toma de decisiones gerenciales en Pymes de construcción del distrito especial turístico y cultural de Riohacha
20201
2 200217
3 200025
4 200013
5 200016
6 20006
7 199928
8 1998120
9 1997263
10 199723
11 199633
12 199694
13 199456
14
High mutation frequency in ras genes of skin tumors isolated from DNA repair deficient xeroderma pigmentosum patients.
199387
15 199237
16 19915
17 19883
18 19884
19 198812
20 19866

About H. G. Suarez

H. G. Suarez is a scholar working on Oncology, Endocrinology, Diabetes and Metabolism, Genetics, Pathology and Forensic Medicine and Immunology, having authored 62 papers that have together received 1.6k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (16 papers), Virus-based gene therapy research (15 papers), Cancer-related Molecular Pathways (13 papers), Genetic factors in colorectal cancer (9 papers), DNA Repair Mechanisms (8 papers), Polyomavirus and related diseases (7 papers), CRISPR and Genetic Engineering (5 papers) and RNA Interference and Gene Delivery (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (799 citations), Oncology (539 citations), Genetics (345 citations), Pathology and Forensic Medicine (180 citations) and Molecular Biology (647 citations). H. G. Suarez has collaborated with scholars based in France, Italy and Argentina. Frequent co-authors include Martin Schlumberger, R. Wicker, Alain Sarasin, Ali Bounacer, Bernard Caillou, R. Cassingéna, A.-F. Cailleux, Diego Russo, Sébastiano Filetti and Franco Arturi. Their work appears in journals such as International Journal of Cancer, Journal of General Virology, Archives of Virology, British Journal of Cancer and Proceedings of the National Academy of Sciences.

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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