Debra C. Lins

2.2k total citations · 1 hit paper
8 papers, 1.7k citations indexed

About

Debra C. Lins is a scholar working on Immunology, Oncology and Infectious Diseases. According to data from OpenAlex, Debra C. Lins has authored 8 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 1 paper in Oncology and 0 papers in Infectious Diseases. Recurrent topics in Debra C. Lins's work include Immune Cell Function and Interaction (7 papers), Immunotherapy and Immune Responses (7 papers) and T-cell and B-cell Immunology (6 papers). Debra C. Lins is often cited by papers focused on Immune Cell Function and Interaction (7 papers), Immunotherapy and Immune Responses (7 papers) and T-cell and B-cell Immunology (6 papers). Debra C. Lins collaborates with scholars based in United States, Japan and India. Debra C. Lins's co-authors include Matthew F. Mescher, Julie Curtsinger, Javier O. Valenzuela, Anna Mondino, Marc K. Jenkins, Ross M. Kedl, Clint S. Schmidt, Christopher M. Johnson, Michael Y. Gerner and Irving L. Weissman and has published in prestigious journals such as The Journal of Experimental Medicine, The Journal of Immunology and Melanoma Research.

In The Last Decade

Debra C. Lins

8 papers receiving 1.7k citations

Hit Papers

Cutting Edge: Type I IFNs Provide a Third Signal to CD8 T... 2005 2026 2012 2019 2005 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Debra C. Lins United States 8 1.5k 448 255 156 105 8 1.7k
Aaron J. Tyznik United States 15 1.9k 1.3× 363 0.8× 298 1.2× 235 1.5× 118 1.1× 28 2.2k
Selin Somersan United States 11 1.8k 1.2× 415 0.9× 633 2.5× 171 1.1× 108 1.0× 12 2.1k
Daniel Benítez‐Ribas Spain 20 1.4k 1.0× 473 1.1× 417 1.6× 111 0.7× 119 1.1× 42 1.8k
Heather D. Marshall United States 11 1.5k 1.0× 455 1.0× 275 1.1× 214 1.4× 103 1.0× 15 1.8k
Jean‐Michel Bridon France 9 1.6k 1.1× 469 1.0× 385 1.5× 144 0.9× 71 0.7× 10 2.0k
Bettina Ernst United States 15 2.0k 1.3× 423 0.9× 471 1.8× 182 1.2× 132 1.3× 18 2.5k
Petra Schnorrer Australia 11 1.7k 1.1× 225 0.5× 465 1.8× 139 0.9× 63 0.6× 11 2.0k
Nathalie T. Joncker United States 12 1.8k 1.2× 732 1.6× 319 1.3× 228 1.5× 61 0.6× 16 2.1k
Kimberly D. Klonowski United States 20 2.0k 1.3× 292 0.7× 252 1.0× 338 2.2× 92 0.9× 31 2.3k
Rebecca Merica United States 9 1.7k 1.1× 261 0.6× 178 0.7× 161 1.0× 67 0.6× 14 2.0k

Countries citing papers authored by Debra C. Lins

Since Specialization
Citations

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

Fields of papers citing papers by Debra C. Lins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Debra C. Lins. 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 Debra C. Lins. The network helps show where Debra C. Lins may publish in the future.

Co-authorship network of co-authors of Debra C. Lins

This figure shows the co-authorship network connecting the top 25 collaborators of Debra C. Lins. A scholar is included among the top collaborators of Debra C. Lins 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 Debra C. Lins. Debra C. Lins 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.
Anderson, Katie L., Kristin M. Snyder, Daisuke Ito, et al.. (2019). Evolutionarily conserved resistance to phagocytosis observed in melanoma cells is insensitive to upregulation of pro-phagocytic signals and to CD47 blockade. Melanoma Research. 30(2). 147–158. 15 indexed citations
2.
Curtsinger, Julie, et al.. (2012). Autocrine IFN-γ Promotes Naive CD8 T Cell Differentiation and Synergizes with IFN-α To Stimulate Strong Function. The Journal of Immunology. 189(2). 659–668. 77 indexed citations
3.
Curtsinger, Julie, Michael Y. Gerner, Debra C. Lins, & Matthew F. Mescher. (2007). Signal 3 Availability Limits the CD8 T Cell Response to a Solid Tumor. The Journal of Immunology. 178(11). 6752–6760. 47 indexed citations
4.
Curtsinger, Julie, Debra C. Lins, Christopher M. Johnson, & Matthew F. Mescher. (2005). Signal 3 Tolerant CD8 T Cells Degranulate in Response to Antigen but Lack Granzyme B to Mediate Cytolysis. The Journal of Immunology. 175(7). 4392–4399. 70 indexed citations
5.
Curtsinger, Julie, et al.. (2005). Cutting Edge: Type I IFNs Provide a Third Signal to CD8 T Cells to Stimulate Clonal Expansion and Differentiation. The Journal of Immunology. 174(8). 4465–4469. 504 indexed citations breakdown →
6.
Curtsinger, Julie, Debra C. Lins, & Matthew F. Mescher. (2003). Signal 3 Determines Tolerance versus Full Activation of Naive CD8 T Cells. The Journal of Experimental Medicine. 197(9). 1141–1151. 392 indexed citations
7.
Curtsinger, Julie, Clint S. Schmidt, Anna Mondino, et al.. (1999). Inflammatory Cytokines Provide a Third Signal for Activation of Naive CD4+ and CD8+ T Cells. The Journal of Immunology. 162(6). 3256–3262. 471 indexed citations
8.
Curtsinger, Julie, Debra C. Lins, & Matthew F. Mescher. (1998). CD8+ Memory T Cells (CD44high, Ly-6C+) Are More Sensitive than Naive Cells (CD44low, Ly-6C−) to TCR/CD8 Signaling in Response to Antigen. The Journal of Immunology. 160(7). 3236–3243. 150 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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