Jaime Berúmen

3.5k citations
77 papers · 2.0k · h-index 27

Impact in

    • Cervical Cancer and HPV Research
    • Hepatitis B Virus Studies
    • Cancer-related molecular mechanisms research

Papers in

Jaime Berúmen

76 papers receiving 1.9k citations

Peers

Jaime Berúmen
Comparison fields: 5 of 115
  • Epidemiology 801
  • Cancer Research 200
  • Microbiology 79
  • Immunology 232
  • Molecular Biology 654
Replace Amal Al‐Garawi with:
Amal Al‐Garawi United States
Nathalie Jacobs Belgium
Rashmi Seth United Kingdom
Yang Ke China
Thales Allyrio Araújo de Medeiros Fernandes Brazil
Valerie Lindgren United States
Nicodemus Tedla Australia
Weimin Liu United States
Patrick Brest France
Damon J. Tumes Australia
Jaime Berúmen relative to Amal Al‐Garawi United States Amal Al‐Garawi's profile →
Citations per field
00.5×1.5×2.3×
Amal Al‐Garawi · 1×
Citations per year

Countries citing papers authored by Jaime Berúmen

Since Specialization
Citations

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

Fields of papers citing papers by Jaime Berúmen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001237
2 200399
3 201182
4 200680
5 200676
6 201376
7 199473
8 200272
9 199961
10 200961
11 199756
12 202050
13 200443
14 201443
15 201443
16 201243
17 201842
18
Human papilloma virus 16-18 infection and cervical cancer in Mexico: a case-control study.
199741
19 201238
20 202036

About Jaime Berúmen

Jaime Berúmen is a scholar working on Molecular Biology, Epidemiology, Genetics, Immunology and Oncology, having authored 77 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (24 papers), Molecular Biology Techniques and Applications (10 papers), Virus-based gene therapy research (8 papers), Immunotherapy and Immune Responses (6 papers), Cancer-related Molecular Pathways (6 papers), T-cell and Retrovirus Studies (4 papers), COVID-19 Clinical Research Studies (4 papers) and Forensic and Genetic Research (4 papers). The work is most often cited by research in Epidemiology (801 citations), Cancer Research (200 citations), Microbiology (79 citations), Immunology (232 citations) and Molecular Biology (654 citations). Jaime Berúmen has collaborated with scholars based in Mexico, United States and United Kingdom. Frequent co-authors include Alejandro García‐Carrancá, Ana Marı́a Espinosa, Ingrid Medina‐Martínez, Silvia Galvan, Marcela Lizano, Mariano Guardado-Estrada, G. Gonzalez‐Lira, Max J. Schmulson, Ana Alfaro and Patricio Gariglio. Their work appears in journals such as PLoS ONE, International Journal of Cancer, Archives of Virology, Virus Research and BMC Public Health.

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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