J.A. Hernandez Prada

1.1k citations
13 papers · 892 indexed · h-index 9
Topics
Computational Drug Discovery Methods (3 papers)Invertebrate Immune Response Mechanisms (3 papers)Renin-Angiotensin System Studies (3 papers)
Partner nations
United StatesBrazil

In The Last Decade

J.A. Hernandez Prada

12 papers receiving 873 citations

Peers

J.A. Hernandez Prada
Comparison fields: 5 of 91
  • Molecular Biology 314
  • Cardiology and Cardiovascular Medicine 192
  • Organic Chemistry 192
  • Immunology 182
  • Infectious Diseases 153
Replace Wibke E. Diederich with:
Wibke E. Diederich Germany
Harold G. Selnick United States
Salvatore Ferla United Kingdom
Michel Garneau Canada
Lawrence F. Colwell United States
Garima Gupta India
Chih‐Shiang Chang Taiwan
Katie J. Simmons United Kingdom
Tina Ritschel Netherlands
Marco L. Lolli Italy
J.A. Hernandez Prada relative to Wibke E. Diederich Germany Wibke E. Diederich's profile →
Citations per field
00.5×3.3×
Wibke E. Diederich · 1×
Citations per year

Countries citing papers authored by J.A. Hernandez Prada

Since Specialization
Citations

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

Fields of papers citing papers by J.A. Hernandez Prada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J.A. Hernandez Prada

This figure shows the co-authorship network connecting the top 25 collaborators of J.A. Hernandez Prada. A scholar is included among the top collaborators of J.A. Hernandez Prada based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J.A. Hernandez Prada. J.A. Hernandez Prada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 1
2 8
3 38
4 218
5 5
6 178
7 3
8 45
9 13
10 141
11 79
12 8
13 155

About J.A. Hernandez Prada

J.A. Hernandez Prada is a scholar working on Toxicology, Molecular Medicine and Computational Theory and Mathematics, having authored 13 papers that have together received 892 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (3 papers), Invertebrate Immune Response Mechanisms (3 papers) and Renin-Angiotensin System Studies (3 papers). The work is most often cited by research in Immunology (182 citations), Cardiology and Cardiovascular Medicine (192 citations) and Infectious Diseases (153 citations). J.A. Hernandez Prada has collaborated with scholars based in United States and Brazil. Frequent co-authors include David A. Ostrov, Mohan K. Raizada, Kathryn A. K. Finton, Thomas C. Rowe, Patrick Corsino, Matthew J. Huentelman, Xiaodong Xiao, Jasenka Zubcevic, Dimiter S. Dimitrov and Anderson J. Ferreira. Their work appears in journals such as Proceedings of the National Academy of Sciences, Immunity and Nature Immunology.

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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