James J. Steinhardt

1.7k total citations
9 papers, 266 citations indexed

About

James J. Steinhardt is a scholar working on Molecular Biology, Immunology and Virology. According to data from OpenAlex, James J. Steinhardt has authored 9 papers receiving a total of 266 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Immunology and 3 papers in Virology. Recurrent topics in James J. Steinhardt's work include HIV Research and Treatment (3 papers), Immune Cell Function and Interaction (3 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). James J. Steinhardt is often cited by papers focused on HIV Research and Treatment (3 papers), Immune Cell Function and Interaction (3 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). James J. Steinhardt collaborates with scholars based in United States, Canada and Israel. James J. Steinhardt's co-authors include Ronald B. Gartenhaus, Elin Lehrmann, Krystyna Mazan-Mamczarz, Kevin G. Becker, Raymond J. Peroutka, Yongqing Zhang, Bojie Dai, Parameswary A. Muniandy, Simone Houng and Chi-I Chiang and has published in prestigious journals such as Nature Communications, The Journal of Immunology and Oncogene.

In The Last Decade

James J. Steinhardt

9 papers receiving 263 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. Steinhardt United States 8 156 60 52 46 42 9 266
Justin J. King Canada 10 144 0.9× 109 1.8× 28 0.5× 22 0.5× 23 0.5× 13 274
Celia Keim United States 5 227 1.5× 200 3.3× 22 0.4× 19 0.4× 47 1.1× 6 408
Sam H. Whiting United States 9 153 1.0× 76 1.3× 17 0.3× 59 1.3× 109 2.6× 20 361
Gunther Zischinsky Germany 6 114 0.7× 36 0.6× 33 0.6× 18 0.4× 20 0.5× 10 259
Barbara Ehrenfels United States 7 93 0.6× 257 4.3× 83 1.6× 53 1.2× 30 0.7× 8 398
Robert S. Topping United States 8 286 1.8× 35 0.6× 28 0.5× 66 1.4× 19 0.5× 8 381
M. Park Canada 6 162 1.0× 22 0.4× 19 0.4× 26 0.6× 23 0.5× 7 308
Franklin Fuh United States 10 115 0.7× 156 2.6× 65 1.3× 12 0.3× 15 0.4× 16 385
Scott Portwood United States 8 191 1.2× 36 0.6× 20 0.4× 7 0.2× 60 1.4× 16 326
Lana Popova United States 5 155 1.0× 93 1.6× 93 1.8× 7 0.2× 18 0.4× 7 269

Countries citing papers authored by James J. Steinhardt

Since Specialization
Citations

This map shows the geographic impact of James J. Steinhardt'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. Steinhardt 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. Steinhardt more than expected).

Fields of papers citing papers by James J. Steinhardt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

9 of 9 papers shown
1.
Galkin, Andrey, Javier Guenaga, Sijy O’Dell, et al.. (2020). HIV-1 gp120–CD4-Induced Antibody Complex Elicits CD4 Binding Site–Specific Antibody Response in Mice. The Journal of Immunology. 204(6). 1543–1561. 4 indexed citations
2.
Lei, Lin, Karen Tran, Yimeng Wang, et al.. (2019). Antigen-Specific Single B Cell Sorting and Monoclonal Antibody Cloning in Guinea Pigs. Frontiers in Microbiology. 10. 672–672. 20 indexed citations
4.
Steinhardt, James J., Javier Guenaga, Hannah L. Turner, et al.. (2018). Rational design of a trispecific antibody targeting the HIV-1 Env with elevated anti-viral activity. Nature Communications. 9(1). 877–877. 60 indexed citations
5.
Chen, Alice Y., Raymond J. Peroutka, Simone Houng, et al.. (2015). Hepatitis C virus upregulates B-cell receptor signaling: a novel mechanism for HCV-associated B-cell lymphoproliferative disorders. Oncogene. 35(23). 2979–2990. 36 indexed citations
6.
Mazan-Mamczarz, Krystyna, Raymond J. Peroutka, James J. Steinhardt, et al.. (2015). Distinct inhibitory effects on mTOR signaling by ethanol and INK128 in diffuse large B-cell lymphoma. Cell Communication and Signaling. 13(1). 15–15. 23 indexed citations
7.
Muniandy, Parameswary A., Amol C. Shetty, Elin Lehrmann, et al.. (2014). MNKs act as a regulatory switch for eIF4E1 and eIF4E3 driven mRNA translation in DLBCL. Nature Communications. 5(1). 5413–5413. 70 indexed citations
8.
Mazan-Mamczarz, Krystyna, Xinyu Zhao, Bojie Dai, et al.. (2014). Down-Regulation of eIF4GII by miR-520c-3p Represses Diffuse Large B Cell Lymphoma Development. PLoS Genetics. 10(1). e1004105–e1004105. 35 indexed citations
9.
Steinhardt, James J. & Ronald B. Gartenhaus. (2012). Promising Personalized Therapeutic Options for Diffuse Large B-cell Lymphoma Subtypes with Oncogene Addictions. Clinical Cancer Research. 18(17). 4538–4548. 9 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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