Víctor H. Engelhard
About
Víctor H. Engelhard is a scholar working on Immunology, Molecular Biology and Oncology.
According to data from OpenAlex, Víctor H. Engelhard has authored 209 papers receiving a total of 15.3k indexed citations (citations by other indexed papers that have themselves been cited), including 185 papers in Immunology, 74 papers in Molecular Biology and 41 papers in Oncology. Recurrent topics in Víctor H. Engelhard's work include Immunotherapy and Immune Responses (154 papers), T-cell and B-cell Immunology (117 papers) and Immune Cell Function and Interaction (73 papers). Víctor H. Engelhard is often cited by papers focused on Immunotherapy and Immune Responses (154 papers), T-cell and B-cell Immunology (117 papers) and Immune Cell Function and Interaction (73 papers). Víctor H. Engelhard collaborates with scholars based in United States, Netherlands and France. Víctor H. Engelhard's co-authors include Donald F. Hunt, Jeffrey Shabanowitz, Craig L. Slingluff, Timothy N. J. Bullock, Jonathan Skipper, David W. Mullins, J. David Peske, Angela L. Zarling, Teresa A. Colella and Andrea L. Cox and has published in prestigious journals such as Nature, Science and Cell.
In The Last Decade
Víctor H. Engelhard
206 papers receiving 15.0k citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Víctor H. Engelhard United States | 74 | 11.5k | 5.5k | 4.3k | 1.4k | 1.0k | 209 | 15.3k | ||
| David M. Tarlinton Australia | 68 | 12.3k 1.1× | 4.8k 0.9× | 2.5k 0.6× | 1.5k 1.1× | 1.1k 1.0× | 183 | 17.0k | ||
| André Veillette Canada | 67 | 9.9k 0.9× | 5.7k 1.0× | 3.5k 0.8× | 1.8k 1.3× | 621 0.6× | 182 | 14.7k | ||
| Kazuo Sugamura Japan | 78 | 12.2k 1.1× | 4.9k 0.9× | 4.0k 0.9× | 830 0.6× | 1.4k 1.3× | 304 | 20.8k | ||
| Günter J. Hämmerling Germany | 79 | 12.8k 1.1× | 5.7k 1.0× | 4.3k 1.0× | 1.9k 1.4× | 1.6k 1.6× | 232 | 19.7k | ||
| Gary A. Koretzky United States | 74 | 13.0k 1.1× | 8.4k 1.5× | 3.8k 0.9× | 1.2k 0.9× | 899 0.9× | 208 | 20.7k | ||
| Ivan D. Horak United States | 62 | 5.7k 0.5× | 4.8k 0.9× | 3.9k 0.9× | 1.8k 1.3× | 1.1k 1.0× | 205 | 14.0k | ||
| Steven J. Burakoff United States | 71 | 9.7k 0.8× | 7.7k 1.4× | 3.5k 0.8× | 2.4k 1.7× | 951 0.9× | 278 | 17.3k | ||
| Kathryn Calame United States | 66 | 8.7k 0.8× | 7.0k 1.3× | 2.3k 0.5× | 1.6k 1.2× | 893 0.9× | 144 | 15.8k | ||
| Pierre G. Coulie Belgium | 65 | 12.0k 1.0× | 5.5k 1.0× | 6.2k 1.4× | 1.5k 1.1× | 778 0.7× | 198 | 15.6k | ||
| Luc Teyton United States | 67 | 14.9k 1.3× | 3.1k 0.6× | 2.7k 0.6× | 1.5k 1.1× | 1.6k 1.5× | 160 | 18.1k |
Countries citing papers authored by Víctor H. Engelhard
Since
Specialization
Citations
This map shows the geographic impact of Víctor H. Engelhard'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 Víctor H. Engelhard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Víctor H. Engelhard more than expected).
Fields of papers citing papers by Víctor H. Engelhard
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by Víctor H. Engelhard. 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 Víctor H. Engelhard. The network helps show where Víctor H. Engelhard may publish in the future.
Co-authorship network of co-authors of Víctor H. Engelhard
This figure shows the co-authorship network connecting the top 25 collaborators of Víctor H. Engelhard. A scholar is included among the top collaborators of Víctor H. Engelhard 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 Víctor H. Engelhard. Víctor H. Engelhard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Pinczewski, Joel, Rebecca C. Obeng, Craig L. Slingluff, & Víctor H. Engelhard. (2021). Phospho-β-catenin expression in primary and metastatic melanomas and in tumor-free visceral tissues, and associations with expression of PD-L1 and PD-L2. Pathology - Research and Practice. 224. 153527–153527.
2.
Lynch, Kevin, Samuel Young, Max O. Meneveau, et al.. (2021). Heterogeneity in tertiary lymphoid structure B-cells correlates with patient survival in metastatic melanoma. Journal for ImmunoTherapy of Cancer. 9(6). e002273–e002273.
3.
Melssen, Marit M., Robin S. Lindsay, Anthony B. Rodriguez, et al.. (2021). Differential Expression of CD49a and CD49b Determines Localization and Function of Tumor-Infiltrating CD8+ T Cells. Cancer Immunology Research. 9(5). 583–597.
4.
Cummings, Kara L., Erin D. Jeffery, Dennis Underwood, et al.. (2021). Characteristics of Immune Memory and Effector Activity to Cancer-Expressed MHC Class I Phosphopeptides Differ in Healthy Donors and Ovarian Cancer Patients. Cancer Immunology Research. 9(11). 1327–1341.
5.
Woods, Amber N., Ashley Wilson, Arun B. Dutta, et al.. (2017). Differential Expression of Homing Receptor Ligands on Tumor-Associated Vasculature that Control CD8 Effector T-cell Entry. Cancer Immunology Research. 5(12). 1062–1073.
6.
Zarling, Angela L., Rebecca C. Obeng, A. Nicole Desch, et al.. (2014). MHC-Restricted Phosphopeptides from Insulin Receptor Substrate-2 and CDC25b Offer Broad-Based Immunotherapeutic Agents for Cancer. Cancer Research. 74(23). 6784–6795.
7.
Thompson, Elizabeth D., et al.. (2010). Tumor masses support naive T cell infiltration, activation, and differentiation into effectors. The Journal of Experimental Medicine. 207(8). 1791–1804.
8.
Cohen, Jarish N., Cynthia J. Guidi, Eric F. Tewalt, et al.. (2010). Lymph node–resident lymphatic endothelial cells mediate peripheral tolerance via Aire-independent direct antigen presentation. The Journal of Experimental Medicine. 207(4). 681–688.
9.
Obeng, Rebecca C., et al.. (2010). A phosphorylated {beta}-catenin peptide that is presented by HLA-A2 generates strong phosphospecific T cell responses against melanoma. The Journal of Immunology. 184.
10.
Lappas, Courtney M., Yuan‐Ji Day, Melissa A. Marshall, Víctor H. Engelhard, & Joel Linden. (2006). Adenosine A2A receptor activation reduces hepatic ischemia reperfusion injury by inhibiting CD1d-dependent NKT cell activation. The Journal of Experimental Medicine. 203(12). 2639–2648.
11.
Mullins, David W. & Víctor H. Engelhard. (2006). Limited Infiltration of Exogenous Dendritic Cells and Naive T Cells Restricts Immune Responses in Peripheral Lymph Nodes. The Journal of Immunology. 176(8). 4535–4542.
12.
Slingluff, Craig L., Gina R. Petroni, Galina V. Yamshchikov, et al.. (2003). Clinical and Immunologic Results of a Randomized Phase II Trial of Vaccination Using Four Melanoma Peptides Either Administered in Granulocyte-Macrophage Colony-Stimulating Factor in Adjuvant or Pulsed on Dendritic Cells. Journal of Clinical Oncology. 21(21). 4016–4026.
13.
Lippolis, John D., Forest M. White, Jarrod A. Marto, et al.. (2002). Analysis of MHC Class II Antigen Processing by Quantitation of Peptides that Constitute Nested Sets. The Journal of Immunology. 169(9). 5089–5097.
14.
Luckey, Chance John, Jarrod A. Marto, Edward J. Hall, et al.. (2001). Differences in the Expression of Human Class I MHC Alleles and Their Associated Peptides in the Presence of Proteasome Inhibitors. The Journal of Immunology. 167(3). 1212–1221.
15.
Pierce, Richard A., Tuna Mutis, Tatiana N. Golovina, et al.. (2001). The HA-2 Minor Histocompatibility Antigen Is Derived from a Diallelic Gene Encoding a Novel Human Class I Myosin Protein. The Journal of Immunology. 167(6). 3223–3230.
16.
Crotzer, Victoria L., Jill Brooks, Jeffrey Shabanowitz, et al.. (2000). Immunodominance Among EBV-Derived Epitopes Restricted by HLA-B27 Does Not Correlate with Epitope Abundance in EBV-Transformed B-Lymphoblastoid Cell Lines. The Journal of Immunology. 164(12). 6120–6129.
17.
Luckey, Chance John, Jarrod A. Marto, Bernhard Maier, et al.. (1998). Proteasomes Can Either Generate or Destroy MHC Class I Epitopes: Evidence for Nonproteasomal Epitope Generation in the Cytosol. The Journal of Immunology. 161(1). 112–121.
18.
Smith, Kelly D., Brian E. Mace, Alicia Valenzuela, et al.. (1996). Probing HLA-B7 conformational shifts induced by peptide-binding groove mutations and bound peptide with anti-HLA monoclonal antibodies. The Journal of Immunology. 157(6). 2470–2478.
19.
Cowan, Elliot P., et al.. (1989). A single amino acid substitution in HLA-A2 can alter the selection of the cytotoxic T lymphocyte repertoire that responds to influenza virus matrix peptide 55-73.. The Journal of Immunology. 143(2). 558–564.
20.
Engelhard, Víctor H., John R. Yannelli, Glen A. Evans, Scott F. Walk, & Mark Holterman. (1985). Construction of novel class I histocompatibility antigens by interspecies exon shuffling.. The Journal of Immunology. 134(6). 4218–4225.
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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