Ron Geller

2.4k total citations
46 papers, 1.6k citations indexed

About

Ron Geller is a scholar working on Infectious Diseases, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Ron Geller has authored 46 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Infectious Diseases, 18 papers in Molecular Biology and 7 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Ron Geller's work include SARS-CoV-2 and COVID-19 Research (17 papers), COVID-19 Clinical Research Studies (10 papers) and Viral gastroenteritis research and epidemiology (9 papers). Ron Geller is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (17 papers), COVID-19 Clinical Research Studies (10 papers) and Viral gastroenteritis research and epidemiology (9 papers). Ron Geller collaborates with scholars based in Spain, United States and United Kingdom. Ron Geller's co-authors include Judith Frydman, Rafael Sanjuán, Raul Andino, José M. Cuevas, Raquel Garijo, Christoph Spiess, Stephen J. Tam, Shuhei Taguwa, Marco Vignuzzi and José López‐Aldeguer and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Experimental Medicine.

In The Last Decade

Ron Geller

40 papers receiving 1.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ron Geller Spain 18 803 592 274 244 196 46 1.6k
Guy Lemay Canada 25 662 0.8× 740 1.3× 261 1.0× 271 1.1× 306 1.6× 80 1.7k
Hideki Tani Japan 31 1.1k 1.4× 1.3k 2.2× 228 0.8× 621 2.5× 140 0.7× 95 3.0k
Holly Ramage United States 15 890 1.1× 708 1.2× 294 1.1× 300 1.2× 87 0.4× 20 1.9k
Verónica Martı́n Spain 24 648 0.8× 660 1.1× 235 0.9× 384 1.6× 70 0.4× 64 1.9k
Krishna P. Kota United States 21 379 0.5× 519 0.9× 172 0.6× 245 1.0× 89 0.5× 45 1.1k
Mary A. Rodgers United States 20 902 1.1× 522 0.9× 582 2.1× 582 2.4× 258 1.3× 58 2.2k
Maik J. Lehmann Germany 17 582 0.7× 229 0.4× 372 1.4× 381 1.6× 485 2.5× 28 1.6k
Brendon J. Hanson Singapore 26 854 1.1× 621 1.0× 405 1.5× 392 1.6× 82 0.4× 50 2.1k
Oretta Finco Italy 24 657 0.8× 410 0.7× 1.0k 3.7× 554 2.3× 142 0.7× 48 2.2k
Viviana Falcón Cuba 21 563 0.7× 309 0.5× 186 0.7× 319 1.3× 76 0.4× 72 1.5k

Countries citing papers authored by Ron Geller

Since Specialization
Citations

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

Fields of papers citing papers by Ron Geller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ron Geller

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

All Works

20 of 20 papers shown
1.
Ruiz-Rodríguez, Paula, María Alma Bracho, Manuel Guerreiro, et al.. (2025). Genome data artifacts and functional studies of deletion repair in the BA.1 SARS-CoV-2 spike protein. Virus Evolution. 11(1). veaf015–veaf015.
2.
Cuevas‐Ferrando, Enric, Eliseo Albert, Estela Giménez, et al.. (2025). Estimating SARS‐CoV‐2 Omicron XBB.1.5 Spike‐Directed Functional Antibody Levels From an Anti‐Receptor Binding Domain Wuhan‐Hu‐1‐Based Commercial Immunoassay Results. Journal of Medical Virology. 97(1). e70130–e70130.
3.
Geller, Ron, Bruno Paiva, Stephanie Sanchez, et al.. (2025). The Rise of Fine-Tuned CAR-Based Therapies Against Acute Myeloid Leukemia. Cancers. 17(24). 3892–3892.
4.
Geller, Ron, et al.. (2024). Cell type-specific adaptation of the SARS-CoV-2 spike. Virus Evolution. 10(1). veae032–veae032. 5 indexed citations
5.
Albert, Eliseo, Estela Giménez, Roberto Gozalbo‐Rovira, et al.. (2024). Functional antibody responses targeting the Spike protein of SARS-CoV-2 Omicron XBB.1.5 in elderly nursing home residents following Wuhan-Hu-1-based mRNA booster vaccination. Scientific Reports. 14(1). 11896–11896. 2 indexed citations
6.
Buceta, Javier, et al.. (2023). Comprehensive profiling of neutralizing polyclonal sera targeting coxsackievirus B3. Nature Communications. 14(1). 6417–6417. 3 indexed citations
7.
Albert, Eliseo, et al.. (2023). A machine learning model for predicting serum neutralizing activity against Omicron SARS‐CoV‐2 BA.2 and BA.4/5 sublineages in the general population. Journal of Medical Virology. 95(4). e28739–e28739. 2 indexed citations
8.
Santiago‐Felipe, Sara, María Ángeles Tormo‐Más, Javier Pemán, et al.. (2023). Aptamer‐Capped Nanoporous Anodic Alumina for SARS‐CoV‐2 Spike Protein Detection. Advanced Materials Technologies. 8(11). 6 indexed citations
9.
10.
11.
Sánchez‐Sendra, Beatriz, Eliseo Albert, Ignacio Torres, et al.. (2022). Neutralizing antibodies against SARS-CoV-2 variants of concern elicited by the comirnaty COVID-19 vaccine in nursing home residents. Scientific Reports. 12(1). 3788–3788. 21 indexed citations
12.
Latorre, Víctor & Ron Geller. (2022). Identification of Cytoplasmic Chaperone Networks Relevant for Respiratory Syncytial Virus Replication. Frontiers in Microbiology. 13. 880394–880394. 5 indexed citations
13.
Giménez, Estela, Eliseo Albert, Ignacio Torres, et al.. (2022). Cumulative incidence of SARS‐CoV‐2 infection in the general population of the Valencian Community (Spain) after the surge of the Omicron BA.1 variant. Journal of Medical Virology. 95(1). e28284–e28284. 9 indexed citations
14.
Valdivia, Arantxa, Ignacio Torres, Víctor Latorre, et al.. (2021). Inference of SARS-CoV-2 spike-binding neutralizing antibody titers in sera from hospitalized COVID-19 patients by using commercial enzyme and chemiluminescent immunoassays. European Journal of Clinical Microbiology & Infectious Diseases. 40(3). 485–494. 29 indexed citations
15.
Siles‐Lucas, Mar, Javier González‐Miguel, Ron Geller, et al.. (2020). Potential Influence of Helminth Molecules on COVID-19 Pathology. Trends in Parasitology. 37(1). 11–14. 30 indexed citations
16.
Geller, Ron, Raquel Garijo, José M. Cuevas, et al.. (2016). Highly heterogeneous mutation rates in the hepatitis C virus genome. Nature Microbiology. 1(7). 16045–16045. 44 indexed citations
17.
Geller, Ron, et al.. (2015). The external domains of the HIV-1 envelope are a mutational cold spot. Nature Communications. 6(1). 8571–8571. 37 indexed citations
18.
Cuevas, José M., Ron Geller, Raquel Garijo, José López‐Aldeguer, & Rafael Sanjuán. (2015). Extremely High Mutation Rate of HIV-1 In Vivo. PLoS Biology. 13(9). e1002251–e1002251. 249 indexed citations
19.
Geller, Ron, Shuhei Taguwa, & Judith Frydman. (2011). Broad action of Hsp90 as a host chaperone required for viral replication. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1823(3). 698–706. 178 indexed citations
20.
Geller, Ron, Erin J. Adams, Lisbeth A. Guethlein, et al.. (2002). Linkage of Patr-AL to Patr-A and- B in the major histocompatibility complex of the common chimpanzee ( Pan troglodytes ). Immunogenetics. 54(3). 212–215. 12 indexed citations

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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