Phillip E. Posch

999 total citations
12 papers, 779 citations indexed

About

Phillip E. Posch is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Phillip E. Posch has authored 12 papers receiving a total of 779 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 3 papers in Molecular Biology and 2 papers in Oncology. Recurrent topics in Phillip E. Posch's work include T-cell and B-cell Immunology (8 papers), Immune Cell Function and Interaction (6 papers) and Immunotherapy and Immune Responses (3 papers). Phillip E. Posch is often cited by papers focused on T-cell and B-cell Immunology (8 papers), Immune Cell Function and Interaction (6 papers) and Immunotherapy and Immune Responses (3 papers). Phillip E. Posch collaborates with scholars based in United States, Netherlands and Italy. Phillip E. Posch's co-authors include Carolyn Katovich Hurley, John E. Coligan, Francisco Borrego, Andrëw G. Brööks, Riddhishkumar Shah, Matthias Ulbrecht, Elizabeth H. Weiss, Christopher J. VandenBussche, Sivanesan Dakshanamurthy and Naynesh Kamani and has published in prestigious journals such as The Journal of Experimental Medicine, The Journal of Immunology and European Journal of Immunology.

In The Last Decade

Phillip E. Posch

12 papers receiving 774 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Phillip E. Posch United States 9 603 165 157 118 55 12 779
Alka Patel United Kingdom 7 434 0.7× 93 0.6× 180 1.1× 132 1.1× 61 1.1× 9 633
Brandt L. Esplin United States 9 416 0.7× 97 0.6× 196 1.2× 166 1.4× 37 0.7× 12 621
Linda Oberdörfer Germany 11 861 1.4× 153 0.9× 130 0.8× 100 0.8× 89 1.6× 12 1.0k
Naoko Akiyama Japan 7 460 0.8× 215 1.3× 51 0.3× 106 0.9× 51 0.9× 15 644
Hélène Trebeden‐Negre France 14 305 0.5× 167 1.0× 165 1.1× 94 0.8× 64 1.2× 19 544
Ryosei Nishimura Japan 11 279 0.5× 252 1.5× 170 1.1× 162 1.4× 34 0.6× 37 625
Isabel Y. Pappworth United Kingdom 11 703 1.2× 128 0.8× 284 1.8× 50 0.4× 106 1.9× 25 790
Katrin U. Lundin Norway 11 475 0.8× 287 1.7× 71 0.5× 94 0.8× 45 0.8× 12 626
Junxia Yao China 13 216 0.4× 144 0.9× 158 1.0× 149 1.3× 57 1.0× 46 499
Caterina Fusco Italy 11 205 0.3× 161 1.0× 71 0.5× 114 1.0× 43 0.8× 22 616

Countries citing papers authored by Phillip E. Posch

Since Specialization
Citations

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

Fields of papers citing papers by Phillip E. Posch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Phillip E. Posch. 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 Phillip E. Posch. The network helps show where Phillip E. Posch may publish in the future.

Co-authorship network of co-authors of Phillip E. Posch

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

All Works

12 of 12 papers shown
1.
Mulrooney, Tiernan, Phillip E. Posch, & Carolyn Katovich Hurley. (2013). DAP12 impacts trafficking and surface stability of killer immunoglobulin-like receptors on natural killer cells. Journal of Leukocyte Biology. 94(2). 301–313. 16 indexed citations
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VandenBussche, Christopher J., Sivanesan Dakshanamurthy, Phillip E. Posch, & Carolyn Katovich Hurley. (2006). A Single Polymorphism Disrupts the Killer Ig-Like Receptor 2DL2/2DL3 D1 Domain. The Journal of Immunology. 177(8). 5347–5357. 44 indexed citations
4.
Shah, Riddhishkumar, Carolyn Katovich Hurley, & Phillip E. Posch. (2006). A molecular mechanism for the differential regulation of TGF-β1 expression due to the common SNP −509C-T (c. −1347C > T). Human Genetics. 120(4). 461–469. 80 indexed citations
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Shah, Riddhishkumar, et al.. (2005). Allelic diversity in the TGFB1 regulatory region: characterization of novel functional single nucleotide polymorphisms. Human Genetics. 119(1-2). 61–74. 66 indexed citations
7.
Brööks, Andrëw G., Francisco Borrego, Phillip E. Posch, et al.. (1999). Specific Recognition of HLA-E, But Not Classical, HLA Class I Molecules by Soluble CD94/NKG2A and NK Cells. The Journal of Immunology. 162(1). 305–313. 140 indexed citations
8.
Posch, Phillip E., Francisco Borrego, Andrëw G. Brööks, & John E. Coligan. (1998). HLA-E is the ligand for the natural killer cell CD94/NKG2 receptors. Journal of Biomedical Science. 5(5). 321–331. 21 indexed citations
9.
Brööks, Andrëw G., et al.. (1997). NKG2A Complexed with CD94 Defines a Novel Inhibitory Natural Killer Cell Receptor. The Journal of Experimental Medicine. 185(4). 795–800. 204 indexed citations
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Posch, Phillip E., et al.. (1995). Microvariation creates significant functional differences in the DR3 Molecules. Human Immunology. 42(1). 61–71. 21 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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