Ronald P. Trible

4.2k total citations · 2 hit papers
19 papers, 3.6k citations indexed

About

Ronald P. Trible is a scholar working on Immunology, Molecular Biology and Virology. According to data from OpenAlex, Ronald P. Trible has authored 19 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 9 papers in Molecular Biology and 7 papers in Virology. Recurrent topics in Ronald P. Trible's work include HIV Research and Treatment (6 papers), Immune Cell Function and Interaction (5 papers) and T-cell and B-cell Immunology (5 papers). Ronald P. Trible is often cited by papers focused on HIV Research and Treatment (6 papers), Immune Cell Function and Interaction (5 papers) and T-cell and B-cell Immunology (5 papers). Ronald P. Trible collaborates with scholars based in United States, Mexico and Canada. Ronald P. Trible's co-authors include Lawrence E. Samelson, Weiguo Zhang, William Zhang, Joanne Sloan‐Lancaster, Weiguo Zhang, Stephen C. Bunnell, Veena Kapoor, Weiguo Zhang, Stanley K. Liu and Minghua Zhu and has published in prestigious journals such as Cell, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Ronald P. Trible

19 papers receiving 3.6k citations

Hit Papers

LAT 1998 2026 2007 2016 1998 1998 250 500 750 1000

Peers

Ronald P. Trible
Comparison fields: 5 of 91
  • Immunology 2.6k
  • Molecular Biology 1.5k
  • Oncology 530
  • Immunology and Allergy 418
  • Cell Biology 362
Replace Giovanna Bossi with:
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Linda K. Clayton United States
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Bernard Lagane France
A Aruffo United States
Christian Franci United States
B Petryniak United States
Giovanna Bossi United Kingdom View profile →
Citations per field, relative to Ronald P. Trible
Ronald P. Trible · 1×
Citations per year, relative to Ronald P. Trible
Ronald P. Trible · 1×

Countries citing papers authored by Ronald P. Trible

Since Specialization
Citations

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

Fields of papers citing papers by Ronald P. Trible

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ronald P. Trible. 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 Ronald P. Trible. The network helps show where Ronald P. Trible may publish in the future.

Co-authorship network of co-authors of Ronald P. Trible

This figure shows the co-authorship network connecting the top 25 collaborators of Ronald P. Trible. A scholar is included among the top collaborators of Ronald P. Trible 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 Ronald P. Trible. Ronald P. Trible is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
# Work Indexed citations
1 2
2 2
3 1
4 63
5 7
6 20
7 33
8 16
9 129
10 37
11 31
12 350
13 37
14 345
15 230
16 475
17 7
18 1086
19
LAT Palmitoylation breakdown →
752

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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