Jonathan M. Levitt

3.1k total citations
91 papers, 2.2k citations indexed

About

Jonathan M. Levitt is a scholar working on Statistics, Probability and Uncertainty, Immunology and Molecular Biology. According to data from OpenAlex, Jonathan M. Levitt has authored 91 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Statistics, Probability and Uncertainty, 21 papers in Immunology and 19 papers in Molecular Biology. Recurrent topics in Jonathan M. Levitt's work include scientometrics and bibliometrics research (23 papers), Immunotherapy and Immune Responses (17 papers) and Prostate Cancer Treatment and Research (9 papers). Jonathan M. Levitt is often cited by papers focused on scientometrics and bibliometrics research (23 papers), Immunotherapy and Immune Responses (17 papers) and Prostate Cancer Treatment and Research (9 papers). Jonathan M. Levitt collaborates with scholars based in United States, United Kingdom and Israel. Jonathan M. Levitt's co-authors include Mike Thelwall, Irene Georgakoudi, Kevin M. Slawin, Vanaja Konduri, William K. Decker, David M. Spencer, David L. Kaplan, Mamatha Seethammagari, Karl Münger and Jonathan Vazquez‐Perez and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and The Journal of Experimental Medicine.

In The Last Decade

Jonathan M. Levitt

89 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan M. Levitt United States 30 415 386 379 334 278 91 2.2k
Thomas Schlange Germany 21 272 0.7× 1.4k 3.6× 199 0.5× 536 1.6× 160 0.6× 32 2.7k
Mike Rossner United States 10 177 0.4× 556 1.4× 155 0.4× 88 0.3× 82 0.3× 21 1.5k
Richard B. Rosen United States 46 559 1.3× 822 2.1× 64 0.2× 46 0.1× 907 3.3× 261 6.9k
Jeffrey M. Perkel United States 24 49 0.1× 793 2.1× 131 0.3× 92 0.3× 229 0.8× 144 2.1k
Elizabeth Iorns United States 19 121 0.3× 1.5k 3.8× 111 0.3× 796 2.4× 59 0.2× 52 2.3k
Timothy M. Errington United States 19 552 1.3× 706 1.8× 41 0.1× 190 0.6× 35 0.1× 50 2.2k
Sarvenaz Sarabipour United States 20 99 0.2× 687 1.8× 44 0.1× 143 0.4× 67 0.2× 36 1.3k
Roger Day United States 31 158 0.4× 1.6k 4.1× 647 1.7× 1.7k 5.0× 64 0.2× 70 4.8k
J. Carl Barrett United States 32 123 0.3× 2.4k 6.2× 359 0.9× 811 2.4× 109 0.4× 68 4.5k
Jane Calvert United Kingdom 28 54 0.1× 795 2.1× 226 0.6× 31 0.1× 200 0.7× 100 2.5k

Countries citing papers authored by Jonathan M. Levitt

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan M. Levitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan M. Levitt. 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 Jonathan M. Levitt. The network helps show where Jonathan M. Levitt may publish in the future.

Co-authorship network of co-authors of Jonathan M. Levitt

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan M. Levitt. A scholar is included among the top collaborators of Jonathan M. Levitt 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 Jonathan M. Levitt. Jonathan M. Levitt 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.
Thelwall, Mike, Kayvan Kousha, Mahshid Abdoli, et al.. (2024). Which international co‐authorships produce higher quality journal articles?. Journal of the Association for Information Science and Technology. 75(7). 769–788. 9 indexed citations
2.
Levitt, Jonathan M., et al.. (2023). Identifying disability-related barriers to academic employment. Studies in Higher Education. 49(11). 2104–2115.
3.
Thelwall, Mike, Kayvan Kousha, Emma Stuart, et al.. (2023). Does the perceived quality of interdisciplinary research vary between fields?. Journal of Documentation. 79(6). 1514–1531. 2 indexed citations
4.
Thelwall, Mike, Kayvan Kousha, Mahshid Abdoli, et al.. (2023). Why are coauthored academic articles more cited: Higher quality or larger audience?. Journal of the Association for Information Science and Technology. 74(7). 791–810. 15 indexed citations
5.
Thelwall, Mike, Kayvan Kousha, Meiko Makita, et al.. (2023). Is big team research fair in national research assessments? The case of the UK Research Excellence Framework 2021. Journal of Data and Information Science. 8(1). 9–20. 1 indexed citations
6.
Thelwall, Mike, Kayvan Kousha, Emma Stuart, et al.. (2023). In which fields are citations indicators of research quality?. Journal of the Association for Information Science and Technology. 74(8). 941–953. 33 indexed citations
7.
Thelwall, Mike, Kayvan Kousha, Mahshid Abdoli, et al.. (2023). Do altmetric scores reflect article quality? Evidence from the UK Research Excellence Framework 2021. Journal of the Association for Information Science and Technology. 74(5). 582–593. 10 indexed citations
8.
Thelwall, Mike, Kayvan Kousha, Meiko Makita, et al.. (2023). In which fields do higher impact journals publish higher quality articles?. Scientometrics. 128(7). 3915–3933. 11 indexed citations
9.
Thelwall, Mike, Kayvan Kousha, Emma Stuart, et al.. (2023). Do bibliometrics introduce gender, institutional or interdisciplinary biases into research evaluations?. Research Policy. 52(8). 104829–104829. 11 indexed citations
10.
Thelwall, Mike, Kayvan Kousha, Mahshid Abdoli, et al.. (2023). Is research funding always beneficial? A cross-disciplinary analysis of U.K. research 2014–20. Quantitative Science Studies. 4(2). 501–534. 9 indexed citations
11.
Thelwall, Mike, Kayvan Kousha, Mahshid Abdoli, et al.. (2023). Terms in journal articles associating with high quality: can qualitative research be world-leading?. Journal of Documentation. 79(5). 1110–1123. 3 indexed citations
12.
Thelwall, Mike & Jonathan M. Levitt. (2020). Retweeting Covid-19 disability issues: Risks, support and outrage. El Profesional de la Informacion. 29(2). 48 indexed citations
13.
Liang, Dan, Lin Tian, Ran You, et al.. (2018). AIMp1 Potentiates TH1 Polarization and Is Critical for Effective Antitumor and Antiviral Immunity. Frontiers in Immunology. 8. 1801–1801. 25 indexed citations
14.
Levitt, Jonathan M. & Mike Thelwall. (2014). From Webometrics to Altmetrics: One and a Half Decades of Digital Research at Wolverhampton. 13. 1 indexed citations
15.
Carstens, Julienne L., Payam Shahi, Chad J. Creighton, et al.. (2013). FGFR1–WNT–TGF-β Signaling in Prostate Cancer Mouse Models Recapitulates Human Reactive Stroma. Cancer Research. 74(2). 609–620. 35 indexed citations
16.
Lapteva, Natalia, et al.. (2011). A composite MyD88/CD40 switch synergistically activates mouse and human dendritic cells for enhanced antitumor efficacy. Journal of Clinical Investigation. 121(4). 1524–1534. 48 indexed citations
17.
Levitt, Jonathan M., et al.. (2011). Structural and Mechanical Analysis of Tectorial Membrane Tecta Mutants. Biophysical Journal. 100(10). 2530–2538. 19 indexed citations
18.
Lapteva, Natalia, Mamatha Seethammagari, Brent A. Hanks, et al.. (2007). Enhanced Activation of Human Dendritic Cells by Inducible CD40 and Toll-like Receptor-4 Ligation. Cancer Research. 67(21). 10528–10537. 50 indexed citations
19.
Vavra, Ashley K., et al.. (2004). Sulfur mustard primes phagocytosis and degranulation in human polymorphonuclear leukocytes. International Immunopharmacology. 4(3). 437–445. 11 indexed citations
20.
Levitt, Jonathan M., et al.. (2003). Low-dose sulfur mustard primes oxidative function and induces apoptosis in human polymorphonuclear leukocytes. International Immunopharmacology. 3(5). 747–756. 13 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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