Claire L. Sutherland

3.9k citations
23 papers · 3.2k indexed · 2 hit papers · h-index 16

Claire L. Sutherland

23 papers receiving 3.1k citations

Hit Papers

ULBPs, Novel MHC Class I–Related Molecules, Bind to CMV G...9821998202620072016250500750

Peers

Claire L. Sutherland
Comparison fields: 5 of 97
  • Immunology 2.3k
  • Oncology 1.0k
  • Biological Psychiatry 81
  • Cancer Research 254
  • Hematology 157
Replace Andreas Limmer with:
Andreas Limmer Germany
Giovanni Magistrelli Switzerland
Stéphanie Hugues Switzerland
Kurt Shanebeck Canada
David M. Frucht United States
Christiaan J. M. Saris United States
Daniela Wesch Germany
David H. Presky United States
June‐Yong Lee United States
Grégoire Lauvau United States
Claire L. Sutherland relative to Andreas Limmer Germany Andreas Limmer's profile →
Citations per field
00.5×1.5×2.4×
Andreas Limmer · 1×
Citations per year

Countries citing papers authored by Claire L. Sutherland

Since Specialization
Citations

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

Fields of papers citing papers by Claire L. Sutherland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Claire L. Sutherland. 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 Claire L. Sutherland. The network helps show where Claire L. Sutherland may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Claire L. Sutherland, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Claire L. Sutherland Line = papers co-authored together Claire L. Sutherland links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20181
3 20183
4 201889
5 20171
6 20176
7 201714
8 201188
9 2011179
10 200678
11 2003218
12 2003169
13 2002211
14 2002199
15
ULBPs, Novel MHC Class I–Related Molecules, Bind to CMV Glycoprotein UL16 and Stimulate NK Cytotoxicity through the NKG2D Receptorbreakdown →
2001982
16 2001109
17 199927
18 1998115
19
Dendritic Cell Survival and Maturation Are Regulated by Different Signaling Pathwaysbreakdown →
1998605
20 199427

About Claire L. Sutherland

Claire L. Sutherland is a scholar working on Immunology, Oncology and Biological Psychiatry, having authored 23 papers that have together received 3.2k indexed citations. Recurring topics across this work include CAR-T cell therapy research (10 papers), Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (6 papers), Biosimilars and Bioanalytical Methods (4 papers), NF-κB Signaling Pathways (3 papers), Cytomegalovirus and herpesvirus research (2 papers), Bioactive Compounds and Antitumor Agents (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Immunology (2.3k citations), Oncology (1.0k citations) and Biological Psychiatry (81 citations). Claire L. Sutherland has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include David Cosman, N. Jan Chalupny, Michael R. Gold, Marek Kubin, Wilson Chin, William C. Fanslow, Richard Armitage, Jürgen Müllberg, Paola Ricciardi‐Castagnoli and María Rescigno. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and Journal of Clinical Oncology.

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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