James J. Valdés

6.0k total citations
163 papers, 4.4k citations indexed

About

James J. Valdés is a scholar working on Molecular Biology, Insect Science and Genetics. According to data from OpenAlex, James J. Valdés has authored 163 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Molecular Biology, 30 papers in Insect Science and 28 papers in Genetics. Recurrent topics in James J. Valdés's work include Vector-borne infectious diseases (26 papers), Insect and Pesticide Research (19 papers) and Bacterial Genetics and Biotechnology (17 papers). James J. Valdés is often cited by papers focused on Vector-borne infectious diseases (26 papers), Insect and Pesticide Research (19 papers) and Bacterial Genetics and Biotechnology (17 papers). James J. Valdés collaborates with scholars based in United States, Czechia and France. James J. Valdés's co-authors include William E. Bentley, Alejandro Cabezas‐Cruz, Matthew P. DeLisa, Chi‐Fang Wu, James P. Chambers, Chen‐Yu Tsao, Liang Wang, José de la Fuente, Mohyee E. Eldefrawi and Bernard P. Arulanandam and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and ACS Nano.

In The Last Decade

James J. Valdés

154 papers receiving 4.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James J. Valdés United States 36 2.3k 789 625 612 608 163 4.4k
Lynne Turnbull Australia 41 2.3k 1.0× 521 0.7× 461 0.7× 344 0.6× 202 0.3× 82 5.0k
Kim A. Brogden United States 41 5.0k 2.2× 554 0.7× 153 0.2× 608 1.0× 309 0.5× 181 10.8k
Dirk Linke Germany 41 2.7k 1.2× 1.2k 1.6× 461 0.7× 460 0.8× 541 0.9× 137 5.9k
Brian D. Robertson United Kingdom 51 3.1k 1.4× 777 1.0× 362 0.6× 2.4k 3.9× 219 0.4× 151 7.1k
Daniel E. Voth United States 26 2.7k 1.2× 681 0.9× 1.3k 2.0× 1.4k 2.3× 152 0.3× 55 6.5k
Olivier Jousson Italy 35 2.8k 1.2× 391 0.5× 297 0.5× 837 1.4× 197 0.3× 81 5.8k
Dongsheng Zhou China 47 3.4k 1.5× 2.0k 2.5× 673 1.1× 591 1.0× 715 1.2× 374 8.4k
Atsushi Yamashita Japan 43 4.5k 2.0× 854 1.1× 150 0.2× 785 1.3× 281 0.5× 171 11.0k
Ren Lai China 52 4.4k 2.0× 1.4k 1.8× 344 0.6× 312 0.5× 195 0.3× 285 8.7k
Anthony Levasseur France 35 2.4k 1.0× 393 0.5× 183 0.3× 880 1.4× 946 1.6× 175 5.2k

Countries citing papers authored by James J. Valdés

Since Specialization
Citations

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

Fields of papers citing papers by James J. Valdés

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James J. Valdés. 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 James J. Valdés. The network helps show where James J. Valdés may publish in the future.

Co-authorship network of co-authors of James J. Valdés

This figure shows the co-authorship network connecting the top 25 collaborators of James J. Valdés. A scholar is included among the top collaborators of James J. Valdés 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 James J. Valdés. James J. Valdés 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.
Contreras, Marinela, Consuelo Almazán, James J. Valdés, et al.. (2025). Modelling protein-protein interactions for the design of vaccine chimeric antigens with protective epitopes. PLoS ONE. 20(2). e0318439–e0318439.
2.
Mateos‐Hernández, Lourdes, Alejandra Wu‐Chuang, Ryan O. M. Rego, et al.. (2025). Antimicrobiota vaccine induces lysine-mediated modulation of tick immunity affecting Borrelia colonization. FEMS Microbiology Ecology. 101(9).
3.
Valdés, James J., Daniel A. Petrash, & Kurt O. Konhauser. (2024). A novel in-silico model explores LanM homologs among Hyphomicrobium spp. Communications Biology. 7(1). 1539–1539. 1 indexed citations
4.
Mateos‐Hernández, Lourdes, Céline Henry, Anne-Claire Lagrée, et al.. (2021). Enlisting the Ixodes scapularis Embryonic ISE6 Cell Line to Investigate the Neuronal Basis of Tick—Pathogen Interactions. Pathogens. 10(1). 70–70. 11 indexed citations
5.
Tonk, Miray, James J. Valdés, Alejandro Cabezas‐Cruz, & Andreas Vilcinskas. (2021). Potent Activity of Hybrid Arthropod Antimicrobial Peptides Linked by Glycine Spacers. International Journal of Molecular Sciences. 22(16). 8919–8919. 9 indexed citations
6.
Artigas-Jerónimo, Sara, Margarita Villar, Marinela Contreras, et al.. (2020). A Novel Combined Scientific and Artistic Approach for the Advanced Characterization of Interactomes: The Akirin/Subolesin Model. Vaccines. 8(1). 77–77. 28 indexed citations
7.
Sinha, Deepak K., Radek Šíma, Jan Perner, et al.. (2020). Histone Methyltransferase DOT1L Is Involved in Larval Molting and Second Stage Nymphal Feeding in Ornithodoros moubata. Vaccines. 8(2). 157–157. 3 indexed citations
8.
Cabezas‐Cruz, Alejandro & James J. Valdés. (2014). Are ticks venomous animals?. Frontiers in Zoology. 11(1). 47–47. 66 indexed citations
9.
Chambers, James P., et al.. (2011). Alpha-1 Antitrypsin is Markedly Decreased Following Pulmonary F. tularensis Challenge. Frontiers in Cellular and Infection Microbiology. 1. 20–20. 2 indexed citations
10.
Wang, Liang, Yoshifumi Hashimoto, Hyunmin Yi, et al.. (2011). LuxS Coexpression Enhances Yields of Recombinant Proteins in Escherichia coli in Part through Posttranscriptional Control of GroEL. Applied and Environmental Microbiology. 77(6). 2141–2152. 17 indexed citations
11.
Valdés, James J., et al.. (2010). Lithium enhances cortical mRNA expression in ovariectomized C57BL/6J mice. Acta Neurobiologiae Experimentalis. 70(3). 288–296. 3 indexed citations
12.
Tsao, Chen‐Yu, Sara Hooshangi, Hsuan‐Chen Wu, James J. Valdés, & William E. Bentley. (2010). Autonomous induction of recombinant proteins by minimally rewiring native quorum sensing regulon of E. coli. Metabolic Engineering. 12(3). 291–297. 119 indexed citations
13.
14.
Chambers, James P., et al.. (2008). Biosensor Recognition Elements. Current Issues in Molecular Biology. 10(1-2). 1–12. 192 indexed citations
15.
Daum, Luke T., et al.. (2007). Real‐time RT‐PCR assays for type and subtype detection of influenza A and B viruses. Influenza and Other Respiratory Viruses. 1(4). 167–175. 35 indexed citations
16.
Ashton, John M., et al.. (2004). A rapid and sensitive magnetic bead-based immunoassay for the detection of staphylococcal enterotoxin B for high-through put screening. Molecular and Cellular Probes. 18(6). 379–382. 35 indexed citations
17.
O‘Connell, Kevin, et al.. (2002). Next-Generation Recombinant Antibodies and Antigens for the Detection of Biological Threat Agents and Simulants. Defense Technical Information Center (DTIC). 1 indexed citations
18.
Wu, Chi‐Fang, Hyung Joon, James J. Valdés, & William E. Bentley. (2001). GFP‐visualized immobilized enzymes: Degradation of paraoxon via organophosphorus hydrolase in a packed column. Biotechnology and Bioengineering. 77(2). 212–218. 27 indexed citations
19.
Gill, Ryan T., James J. Valdés, & William E. Bentley. (2000). A Comparative Study of Global Stress Gene Regulation in Response to Overexpression of Recombinant Proteins in Escherichia coli. Metabolic Engineering. 2(3). 178–189. 100 indexed citations
20.
Valdés, James J., et al.. (1990). Enhanced Removal of Exxon Valdez Spilled Oil from Alaskan Gravel by a Microbial Surfactant. Nature Biotechnology. 8(3). 228–230. 105 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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