Henry Zebroski

3.3k total citations
21 papers, 1.6k citations indexed

About

Henry Zebroski is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Henry Zebroski has authored 21 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 11 papers in Immunology and 5 papers in Oncology. Recurrent topics in Henry Zebroski's work include Immunotherapy and Immune Responses (7 papers), T-cell and B-cell Immunology (5 papers) and Immune Cell Function and Interaction (4 papers). Henry Zebroski is often cited by papers focused on Immunotherapy and Immune Responses (7 papers), T-cell and B-cell Immunology (5 papers) and Immune Cell Function and Interaction (4 papers). Henry Zebroski collaborates with scholars based in United States, Germany and France. Henry Zebroski's co-authors include John R. Yates, Catherine C. L. Wong, Anna Kashina, Aaron O. Bailey, Madhav V. Dhodapkar, Alexander Mogilner, Marina V. Karakozova, Ralph M. Steinman, Marina Kozak and Michel C. Nussenzweig and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Henry Zebroski

21 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Henry Zebroski United States 19 834 548 350 117 106 21 1.6k
Elizabeth B. Gottlin United States 21 1.6k 1.9× 357 0.7× 295 0.8× 55 0.5× 150 1.4× 42 2.7k
Tetsuro Yoshimura Japan 22 1.4k 1.7× 355 0.6× 351 1.0× 42 0.4× 261 2.5× 72 1.9k
Soichi Takeda Japan 16 1.3k 1.6× 186 0.3× 145 0.4× 94 0.8× 238 2.2× 37 2.3k
Lance M. Hellman United States 20 1.1k 1.3× 426 0.8× 252 0.7× 59 0.5× 52 0.5× 31 1.7k
Norbert Schaschke Germany 19 491 0.6× 184 0.3× 228 0.7× 41 0.4× 124 1.2× 39 1.1k
Steven Roczniak United States 7 844 1.0× 596 1.1× 815 2.3× 38 0.3× 92 0.9× 8 1.8k
Michela Capello Italy 22 792 0.9× 231 0.4× 455 1.3× 38 0.3× 65 0.6× 40 1.5k
Christoph Thomas Germany 24 1.7k 2.1× 913 1.7× 783 2.2× 39 0.3× 229 2.2× 39 3.1k
Jayantha Gunaratne Singapore 28 1.7k 2.1× 344 0.6× 349 1.0× 140 1.2× 453 4.3× 82 2.9k
Len C. Packman United Kingdom 20 1.0k 1.2× 235 0.4× 169 0.5× 18 0.2× 149 1.4× 23 1.6k

Countries citing papers authored by Henry Zebroski

Since Specialization
Citations

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

Fields of papers citing papers by Henry Zebroski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Henry Zebroski. 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 Henry Zebroski. The network helps show where Henry Zebroski may publish in the future.

Co-authorship network of co-authors of Henry Zebroski

This figure shows the co-authorship network connecting the top 25 collaborators of Henry Zebroski. A scholar is included among the top collaborators of Henry Zebroski 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 Henry Zebroski. Henry Zebroski 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.
Saeed, Mohsan, Nicholas T. Hertz, Xianfang Wu, et al.. (2020). Defining the proteolytic landscape during enterovirus infection. PLoS Pathogens. 16(9). e1008927–e1008927. 36 indexed citations
2.
Hertz, Nicholas T., Eliza L. Adams, Ross Weber, et al.. (2019). Neuronally Enriched RUFY3 Is Required for Caspase-Mediated Axon Degeneration. Neuron. 103(3). 412–422.e4. 13 indexed citations
3.
Vila‐Farrés, Xavier, John Chu, Daigo Inoyama, et al.. (2017). Antimicrobials Inspired by Nonribosomal Peptide Synthetase Gene Clusters. Journal of the American Chemical Society. 139(4). 1404–1407. 36 indexed citations
4.
Leffler, Abba E., Alexander Kuryatov, Henry Zebroski, et al.. (2017). Discovery of peptide ligands through docking and virtual screening at nicotinic acetylcholine receptor homology models. Proceedings of the National Academy of Sciences. 114(38). E8100–E8109. 51 indexed citations
5.
Chu, John, Xavier Vila‐Farrés, Daigo Inoyama, et al.. (2016). Discovery of MRSA active antibiotics using primary sequence from the human microbiome. Nature Chemical Biology. 12(12). 1004–1006. 139 indexed citations
6.
Neubert, Kirsten, Christian H.K. Lehmann, Lukas Heger, et al.. (2014). Antigen Delivery to CD11c+CD8− Dendritic Cells Induces Protective Immune Responses against Experimental Melanoma in Mice In Vivo. The Journal of Immunology. 192(12). 5830–5838. 60 indexed citations
7.
Dhodapkar, Kavita M., Scott Gettinger, Rituparna Das, Henry Zebroski, & Madhav V. Dhodapkar. (2013). SOX2-specific adaptive immunity and response to immunotherapy in non-small cell lung cancer. OncoImmunology. 2(7). e25205–e25205. 53 indexed citations
8.
Bozzacco, Leonia, Haiqiang Yu, Jörn Dengjel, et al.. (2012). Strategy for Identifying Dendritic Cell-Processed CD4+ T Cell Epitopes from the HIV Gag p24 Protein. PLoS ONE. 7(7). e41897–e41897. 7 indexed citations
9.
Saha, Sougata, Catherine C. L. Wong, Tao Xu, et al.. (2011). Arginylation and Methylation Double Up to Regulate Nuclear Proteins and Nuclear Architecture In Vivo. Chemistry & Biology. 18(11). 1369–1378. 31 indexed citations
10.
Bozzacco, Leonia, Haiqiang Yu, Henry Zebroski, et al.. (2011). Mass Spectrometry Analysis and Quantitation of Peptides Presented on the MHC II Molecules of Mouse Spleen Dendritic Cells. Journal of Proteome Research. 10(11). 5016–5030. 50 indexed citations
11.
Dhodapkar, Kavita M., Darren R. Feldman, Soroosh Radfar, et al.. (2010). Natural immunity to pluripotency antigen OCT4 in humans. Proceedings of the National Academy of Sciences. 107(19). 8718–8723. 68 indexed citations
12.
Špíšek, Radek, Anjli Kukreja, Lin-Chi Chen, et al.. (2007). Frequent and specific immunity to the embryonal stem cell–associated antigen SOX2 in patients with monoclonal gammopathy. The Journal of Experimental Medicine. 204(4). 831–840. 152 indexed citations
13.
Bagnato, Carolina, Jaykumar Thumar, Viveka Mayya, et al.. (2007). Proteomics Analysis of Human Coronary Atherosclerotic Plaque. Molecular & Cellular Proteomics. 6(6). 1088–1102. 126 indexed citations
14.
Wong, Catherine C. L., Tao Xu, Reena Rai, et al.. (2007). Global Analysis of Posttranslational Protein Arginylation. PLoS Biology. 5(10). e258–e258. 117 indexed citations
15.
Karakozova, Marina V., Marina Kozak, Catherine C. L. Wong, et al.. (2006). Arginylation of ß-Actin Regulates Actin Cytoskeleton and Cell Motility. Science. 313(5784). 192–196. 214 indexed citations
16.
Boscardin, Silvia Beatriz, Julius Clemence R. Hafalla, Alice O. Kamphorst, et al.. (2006). Antigen targeting to dendritic cells elicits long-lived T cell help for antibody responses. The Journal of Experimental Medicine. 203(3). 599–606. 211 indexed citations
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Kiihne, Suzanne, et al.. (1999). Distance Measurements in Multiply Labeled Crystalline Cytidines by Dipolar Recoupling Solid State NMR. The Journal of Physical Chemistry A. 103(20). 3890–3903. 20 indexed citations
20.
Long, Joanna, Henry Zebroski, Suzanne Kiihne, et al.. (1998). A peptide that inhibits hydroxyapatite growth is in an extended conformation on the crystal surface. Proceedings of the National Academy of Sciences. 95(21). 12083–12087. 76 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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