Flor Herrera

871 citations
42 papers · 632 · h-index 14

Impact in

Papers in

Flor Herrera

39 papers receiving 558 citations

Peers

Flor Herrera
Comparison fields: 5 of 77
  • Public Health, Environmental and Occupational Health 196
  • Parasitology 31
  • Molecular Biology 287
  • Insect Science 51
  • Immunology 70
Replace Mrinal Kanti Bhattacharyya with:
Mrinal Kanti Bhattacharyya India
Jayme Angluster Brazil
Flávia Nader Motta Brazil
Suthathip Kittisenachai Thailand
Moacyr Alcoforado Rebello Brazil
Farhat A. Khan United States
Kimberly S. Paul United States
José Mário de Freitas Balanco Brazil
Vanessa Danielle Menjon Müller Brazil
Silas P. Rodrigues Brazil
Flor Herrera relative to Mrinal Kanti Bhattacharyya India Mrinal Kanti Bhattacharyya's profile →
Citations per field
00.5×3.4×
Mrinal Kanti Bhattacharyya · 1×
Citations per year

Countries citing papers authored by Flor Herrera

Since Specialization
Citations

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

Fields of papers citing papers by Flor Herrera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1979110
2 200457
3 199752
4 200647
5 200042
6
Influence of the HLA class II polymorphism in chronic Chagas' disease.
199842
7 200840
8 199524
9 197524
10 198423
11 197920
12 197719
13 197015
14 199113
15 199812
16 20049
17 19848
18 20218
19 19797
20 20006

About Flor Herrera

Flor Herrera is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Immunology, Infectious Diseases and Epidemiology, having authored 42 papers that have together received 632 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (15 papers), Mosquito-borne diseases and control (11 papers), Malaria Research and Control (8 papers), RNA Research and Splicing (6 papers), RNA modifications and cancer (6 papers), Fungal and yeast genetics research (5 papers), Trypanosoma species research and implications (3 papers) and T-cell and B-cell Immunology (3 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (196 citations), Parasitology (31 citations), Molecular Biology (287 citations), Insect Science (51 citations) and Immunology (70 citations). Flor Herrera has collaborated with scholars based in Venezuela, United States and Poland. Frequent co-authors include Kivie Moldave, Isaac Sadnik, C S McLaughlin, E Gasior, Yasmín Rubio-Palis, Horacio Ávila, Z. Layrisse, Harry Acquatella, Ludmel Urdaneta-Márquez and Christopher F. Bosio. Their work appears in journals such as Human Immunology, Memórias do Instituto Oswaldo Cruz, European Journal of Biochemistry, Journal of Biological Chemistry and Biochemistry.

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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