Peter Hillsamer

1.7k total citations
8 papers, 1.4k citations indexed

About

Peter Hillsamer is a scholar working on Immunology, Surgery and Otorhinolaryngology. According to data from OpenAlex, Peter Hillsamer has authored 8 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 1 paper in Surgery and 1 paper in Otorhinolaryngology. Recurrent topics in Peter Hillsamer's work include Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (7 papers) and Immunotherapy and Immune Responses (6 papers). Peter Hillsamer is often cited by papers focused on Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (7 papers) and Immunotherapy and Immune Responses (6 papers). Peter Hillsamer collaborates with scholars based in United States and United Kingdom. Peter Hillsamer's co-authors include Chang H. Kim, Hyung W. Lim, Alison H. Banham, Jongrok Kim, Eugene C. Butcher, Lusijah Rott, Chuanwu Wang, Seung Goo Kang, Mark May and Dieter Hoffmann and has published in prestigious journals such as Journal of Clinical Investigation, Blood and The Journal of Immunology.

In The Last Decade

Peter Hillsamer

8 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Hillsamer United States 7 1.2k 254 159 92 78 8 1.4k
Mindi Walker United States 15 1.5k 1.2× 316 1.2× 82 0.5× 138 1.5× 88 1.1× 25 1.8k
Danielle L. Drayton United States 7 1.2k 1.0× 383 1.5× 70 0.4× 195 2.1× 43 0.6× 7 1.6k
Renata Mazzucchelli Italy 11 774 0.6× 249 1.0× 72 0.5× 134 1.5× 162 2.1× 13 1.1k
Jennifer J. Hogan Australia 5 1.7k 1.4× 250 1.0× 86 0.5× 201 2.2× 88 1.1× 6 2.0k
Anne-Marie Rousseau Canada 5 780 0.6× 252 1.0× 143 0.9× 128 1.4× 20 0.3× 5 1.0k
Jeff Martinson United States 8 1.6k 1.3× 537 2.1× 57 0.4× 118 1.3× 101 1.3× 9 1.8k
M.H.G. Rep Netherlands 8 1.2k 1.0× 282 1.1× 210 1.3× 132 1.4× 206 2.6× 10 1.5k
Hongwei H. Zhang United States 12 709 0.6× 218 0.9× 55 0.3× 126 1.4× 36 0.5× 18 917
Olga Alebardi Italy 6 1.3k 1.0× 229 0.9× 38 0.2× 113 1.2× 85 1.1× 6 1.4k
Thierry Sornasse United States 12 1.1k 0.9× 254 1.0× 164 1.0× 210 2.3× 15 0.2× 30 1.4k

Countries citing papers authored by Peter Hillsamer

Since Specialization
Citations

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

Fields of papers citing papers by Peter Hillsamer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Hillsamer

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

All Works

8 of 8 papers shown
1.
Wang, Chuanwu, Peter Hillsamer, & Chang H. Kim. (2011). Phenotype, effector function, and tissue localization of PD-1-expressing human follicular helper T cell subsets. BMC Immunology. 12(1). 53–53. 39 indexed citations
2.
Lim, Hyung W., et al.. (2008). Human Th17 Cells Share Major Trafficking Receptors with Both Polarized Effector T Cells and FOXP3+ Regulatory T Cells. The Journal of Immunology. 180(1). 122–129. 193 indexed citations
3.
Lim, Hyung W., Peter Hillsamer, Alison H. Banham, & Chang H. Kim. (2005). Cutting Edge: Direct Suppression of B Cells by CD4+CD25+ Regulatory T Cells. The Journal of Immunology. 175(7). 4180–4183. 476 indexed citations
4.
Kim, Jongrok, Hyung W. Lim, Seung Goo Kang, Peter Hillsamer, & Chang H. Kim. (2005). Human CD57+ germinal center-T cells are the major helpers for GC-B cells and induce class switch recombination. BMC Immunology. 6(1). 3–3. 66 indexed citations
5.
Lim, Hyung W., Peter Hillsamer, & Chang H. Kim. (2004). Regulatory T cells can migrate to follicles upon T cell activation and suppress GC-Th cells and GC-Th cell–driven B cell responses. Journal of Clinical Investigation. 114(11). 1640–1649. 248 indexed citations
6.
Kim, Chang H., Hyung W. Lim, Jongrok Kim, et al.. (2004). Unique gene expression program of human germinal center T helper cells. Blood. 104(7). 1952–1960. 199 indexed citations
7.
Lim, Hyung W., Peter Hillsamer, & Chang H. Kim. (2004). Regulatory T cells can migrate to follicles upon T cell activation and suppress GC-Th cells and GC-Th cell–driven B cell responses. Journal of Clinical Investigation. 114(11). 1640–1649. 222 indexed citations
8.
May, Mark, Peter Hillsamer, & Dieter Hoffmann. (1991). Management of Orbital Hematoma following Functional Endoscopic Sinus Surgery. American Journal of Rhinology. 5(2). 47–49. 3 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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