Evan M. Cale

1.8k total citations
11 papers, 277 citations indexed

About

Evan M. Cale is a scholar working on Virology, Immunology and Infectious Diseases. According to data from OpenAlex, Evan M. Cale has authored 11 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Virology, 7 papers in Immunology and 3 papers in Infectious Diseases. Recurrent topics in Evan M. Cale's work include HIV Research and Treatment (8 papers), Immune Cell Function and Interaction (6 papers) and Hepatitis C virus research (3 papers). Evan M. Cale is often cited by papers focused on HIV Research and Treatment (8 papers), Immune Cell Function and Interaction (6 papers) and Hepatitis C virus research (3 papers). Evan M. Cale collaborates with scholars based in United States, Netherlands and Kenya. Evan M. Cale's co-authors include Young S. Hahn, Stephen N. Waggoner, Zhi Q. Yao, Chang S. Hahn, Norman L. Letvin, Wendy W. Yeh, Carol I. Lord, Fred W. Peyerl, Bette Korber and James Μ. Binley and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and Journal of Virology.

In The Last Decade

Evan M. Cale

11 papers receiving 269 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Evan M. Cale United States 7 141 120 88 82 55 11 277
H. Liermann Germany 6 130 0.9× 187 1.6× 90 1.0× 187 2.3× 64 1.2× 8 341
Brandie Fullmer United States 5 145 1.0× 55 0.5× 42 0.5× 91 1.1× 49 0.9× 6 252
Alex S. Hartlage United States 8 83 0.6× 203 1.7× 33 0.4× 191 2.3× 48 0.9× 11 342
Philip D. Yin United States 9 35 0.2× 121 1.0× 83 0.9× 144 1.8× 68 1.2× 14 299
Cesar Oniangue-Ndza Germany 6 350 2.5× 89 0.7× 308 3.5× 94 1.1× 55 1.0× 7 499
Jasneet Aneja United States 9 243 1.7× 338 2.8× 72 0.8× 298 3.6× 40 0.7× 10 511
Olivier Vidalin France 8 73 0.5× 306 2.5× 48 0.5× 249 3.0× 69 1.3× 8 413
Michiyo Inoue Japan 9 286 2.0× 234 1.9× 36 0.4× 156 1.9× 15 0.3× 12 396
J.L. Romet-Lemonne France 10 86 0.6× 86 0.7× 80 0.9× 138 1.7× 58 1.1× 15 292
Melanie R. Walker Australia 9 46 0.3× 169 1.4× 31 0.4× 109 1.3× 53 1.0× 19 261

Countries citing papers authored by Evan M. Cale

Since Specialization
Citations

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

Fields of papers citing papers by Evan M. Cale

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Evan M. Cale

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

All Works

11 of 11 papers shown
1.
Cale, Evan M., Myungjin Lee, Jason Gorman, et al.. (2022). Antigenic analysis of the HIV-1 envelope trimer implies small differences between structural states 1 and 2. Journal of Biological Chemistry. 298(4). 101819–101819. 9 indexed citations
2.
Crooks, Emma T., E. Duggan, Jinsong Zhang, et al.. (2021). Engineering well-expressed, V2-immunofocusing HIV-1 envelope glycoprotein membrane trimers for use in heterologous prime-boost vaccine regimens. PLoS Pathogens. 17(10). e1009807–e1009807. 8 indexed citations
3.
Simonich, Cassandra A., Mackenzie M. Shipley, Meghan Garrett, et al.. (2021). A diverse collection of B cells responded to HIV infection in infant BG505. Cell Reports Medicine. 2(6). 100314–100314. 6 indexed citations
4.
Crooks, Ema T., Samantha L. Grimley, Michelle D. Cully, et al.. (2018). Glycoengineering HIV-1 Env creates ‘supercharged’ and ‘hybrid’ glycans to increase neutralizing antibody potency, breadth and saturation. PLoS Pathogens. 14(5). e1007024–e1007024. 19 indexed citations
5.
Cale, Evan M., et al.. (2011). Vaccine-Induced CD8+ T Lymphocytes of Rhesus Monkeys Recognize Variant Forms of an HIV Epitope but Do Not Mediate Optimal Functional Activity. The Journal of Immunology. 186(10). 5663–5674. 4 indexed citations
6.
Cale, Evan M., et al.. (2011). Mutations in a Dominant Nef Epitope of Simian Immunodeficiency Virus Diminish TCR:Epitope Peptide Affinity but not Epitope Peptide:MHC Class I Binding. The Journal of Immunology. 187(6). 3300–3313. 5 indexed citations
7.
8.
Yao, Zhi Q., et al.. (2007). Direct Binding of Hepatitis C Virus Core to gC1qR on CD4 + and CD8 + T Cells Leads to Impaired Activation of Lck and Akt. Journal of Virology. 81(7). 3673–3673. 2 indexed citations
9.
10.
Waggoner, Stephen N., et al.. (2004). Hepatitis C Virus Core Selectively Suppresses Interleukin-12 Synthesis in Human Macrophages by Interfering with AP-1 Activation. Journal of Biological Chemistry. 279(42). 43479–43486. 86 indexed citations
11.
Yao, Zhi Q., et al.. (2004). Direct Binding of Hepatitis C Virus Core to gC1qR on CD4+and CD8+T Cells Leads to Impaired Activation of Lck and Akt. Journal of Virology. 78(12). 6409–6419. 85 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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