Jules B. Weinstein

730 total citations
9 papers, 418 citations indexed

About

Jules B. Weinstein is a scholar working on Infectious Diseases, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jules B. Weinstein has authored 9 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Infectious Diseases, 5 papers in Molecular Biology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jules B. Weinstein's work include SARS-CoV-2 and COVID-19 Research (6 papers), COVID-19 Clinical Research Studies (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Jules B. Weinstein is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (6 papers), COVID-19 Clinical Research Studies (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Jules B. Weinstein collaborates with scholars based in United States, Canada and Switzerland. Jules B. Weinstein's co-authors include Fikadu Tafesse, Hans C. Leier, Timothy A. Bates, William B. Messer, Richard B. van Breemen, Jennifer Kyle, Eric Barklis, Lisa Bramer, Thomas Metz and Joon‐Yong Lee and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Protocols.

In The Last Decade

Jules B. Weinstein

9 papers receiving 415 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jules B. Weinstein United States	8	209	145	64	54	47	9	418
Hans C. Leier United States	11	459 2.2×	141 1.0×	73 1.1×	54 1.0×	86 1.8×	15	657
Michelle L. Hill United Kingdom	11	147 0.7×	108 0.7×	51 0.8×	18 0.3×	62 1.3×	17	369
Subodh Kumar Samrat United States	13	220 1.1×	156 1.1×	89 1.4×	33 0.6×	67 1.4×	24	507
Mônika A. Coronado Brazil	13	85 0.4×	238 1.6×	92 1.4×	43 0.8×	32 0.7×	48	489
Dilek Turgut‐Balik Türkiye	14	127 0.6×	168 1.2×	59 0.9×	16 0.3×	28 0.6×	35	450
Adeline Danneels France	9	151 0.7×	87 0.6×	47 0.7×	15 0.3×	65 1.4×	12	362
Timothy A. Bates United States	11	521 2.5×	112 0.8×	14 0.2×	54 1.0×	90 1.9×	21	662
Suman Pakala United States	16	193 0.9×	406 2.8×	68 1.1×	75 1.4×	57 1.2×	33	836
Renu Garg India	14	98 0.5×	197 1.4×	31 0.5×	28 0.5×	136 2.9×	29	611

Countries citing papers authored by Jules B. Weinstein

Since Specialization

Citations

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

Fields of papers citing papers by Jules B. Weinstein

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jules B. Weinstein. 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 Jules B. Weinstein. The network helps show where Jules B. Weinstein may publish in the future.

Co-authorship network of co-authors of Jules B. Weinstein

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

All Works

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9 of 9 papers shown

Bates, Timothy A., et al.. (2024). Biolayer interferometry for measuring the kinetics of protein–protein interactions and nanobody binding. Nature Protocols. 20(4). 861–883. 8 indexed citations

Kyle, Jennifer, Hans C. Leier, Lisa Bramer, et al.. (2022). A global lipid map reveals host dependency factors conserved across SARS-CoV-2 variants. Nature Communications. 13(1). 3487–3487. 38 indexed citations

Weinstein, Jules B., Timothy A. Bates, Hans C. Leier, et al.. (2022). A potent alpaca-derived nanobody that neutralizes SARS-CoV-2 variants. iScience. 25(3). 103960–103960. 20 indexed citations

Breemen, Richard B. van, et al.. (2022). Cannabinoids Block Cellular Entry of SARS-CoV-2 and the Emerging Variants. Journal of Natural Products. 85(1). 176–184. 90 indexed citations

Bates, Timothy A., et al.. (2021). Cross-reactivity of SARS-CoV structural protein antibodies against SARS-CoV-2. Cell Reports. 34(7). 108737–108737. 49 indexed citations

Bates, Timothy A., Hans C. Leier, Zoë L. Lyski, et al.. (2021). Neutralization of SARS-CoV-2 variants by convalescent and BNT162b2 vaccinated serum. Nature Communications. 12(1). 5135–5135. 71 indexed citations

Leier, Hans C., Jules B. Weinstein, Jennifer Kyle, et al.. (2020). A global lipid map defines a network essential for Zika virus replication. Nature Communications. 11(1). 3652–3652. 63 indexed citations

Bates, Timothy A., et al.. (2020). Cross-Reactivity of SARS-CoV Structural Protein Antibodies Against SARS-CoV-2. SSRN Electronic Journal. 2 indexed citations

Dethoff, Elizabeth A., Mark A. Boerneke, Nandan S. Gokhale, et al.. (2018). Pervasive tertiary structure in the dengue virus RNA genome. Proceedings of the National Academy of Sciences. 115(45). 11513–11518. 77 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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