Christopher A. Haskell

3.1k total citations · 1 hit paper
16 papers, 2.5k citations indexed

About

Christopher A. Haskell is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Christopher A. Haskell has authored 16 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Oncology, 10 papers in Immunology and 5 papers in Molecular Biology. Recurrent topics in Christopher A. Haskell's work include Chemokine receptors and signaling (10 papers), Immunotherapy and Immune Responses (4 papers) and Cell Adhesion Molecules Research (4 papers). Christopher A. Haskell is often cited by papers focused on Chemokine receptors and signaling (10 papers), Immunotherapy and Immune Responses (4 papers) and Cell Adhesion Molecules Research (4 papers). Christopher A. Haskell collaborates with scholars based in United States, France and United Kingdom. Christopher A. Haskell's co-authors include Israel Charo, Philippe Lesnik, Masataka Baba, Shin Takagi, Mayumi Kakizaki, Thomas J. Schall, Toshio Imai, Hisayuki Nomiyama, Kunio Hieshima and Morio Nagira and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Christopher A. Haskell

15 papers receiving 2.5k citations

Hit Papers

Identification and Molecular Characterization of Fractalk... 1997 2026 2006 2016 1997 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher A. Haskell United States 13 1.6k 1.6k 422 374 317 16 2.5k
Christian Hundhausen Germany 18 1.4k 0.9× 1.1k 0.7× 437 1.0× 666 1.8× 189 0.6× 28 2.8k
Alan M. Fong United States 22 1.2k 0.8× 1.1k 0.7× 484 1.1× 834 2.2× 129 0.4× 31 2.5k
Barry J. Dussault United States 10 798 0.5× 601 0.4× 168 0.4× 514 1.4× 143 0.5× 11 2.2k
Neil Broadway United Kingdom 12 592 0.4× 663 0.4× 326 0.8× 522 1.4× 128 0.4× 18 1.6k
F W Luscinskas United States 9 1.4k 0.9× 383 0.2× 569 1.3× 921 2.5× 123 0.4× 12 2.6k
Katsuhiko Yamasaki Japan 15 2.1k 1.4× 1.3k 0.8× 291 0.7× 1.0k 2.7× 53 0.2× 19 3.7k
Kanji Yoshida Japan 16 1.9k 1.2× 1.1k 0.7× 108 0.3× 1.5k 3.9× 114 0.4× 21 3.9k
T Matsuda Japan 7 1.2k 0.7× 1.0k 0.7× 121 0.3× 668 1.8× 48 0.2× 9 2.4k
Zoltán Jakus Hungary 22 994 0.6× 532 0.3× 445 1.1× 674 1.8× 60 0.2× 41 2.2k
Junko Irie-Sasaki Canada 9 990 0.6× 907 0.6× 177 0.4× 1.4k 3.9× 80 0.3× 9 2.5k

Countries citing papers authored by Christopher A. Haskell

Since Specialization
Citations

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

Fields of papers citing papers by Christopher A. Haskell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher A. Haskell. 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 Christopher A. Haskell. The network helps show where Christopher A. Haskell may publish in the future.

Co-authorship network of co-authors of Christopher A. Haskell

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

All Works

16 of 16 papers shown
1.
Yang, Xuebin, Christopher A. Haskell, Richard Horuk, et al.. (2020). The Chemokine, CCL3, and Its Receptor, CCR1, Mediate Thoracic Radiation–Induced Pulmonary Fibrosis. UNC Libraries.
2.
Yang, Xuebin, William G. Walton, Donald N. Cook, et al.. (2010). The Chemokine, CCL3, and Its Receptor, CCR1, Mediate Thoracic Radiation–Induced Pulmonary Fibrosis. American Journal of Respiratory Cell and Molecular Biology. 45(1). 127–135. 46 indexed citations
3.
Blasko, Eric, Christopher A. Haskell, Stewart Leung, et al.. (2009). Beneficial role of the GPR30 agonist G-1 in an animal model of multiple sclerosis. Journal of Neuroimmunology. 214(1-2). 67–77. 154 indexed citations
4.
Zhang, Le-Ning, John F. Parkinson, Christopher A. Haskell, & Yixin Wang. (2008). Mechanisms of Intimal Hyperplasia Learned from a Murine Carotid Artery Ligation Model. Current Vascular Pharmacology. 6(1). 37–43. 29 indexed citations
5.
Cole, Andrew G., Ilana L. Stroke, Srilatha Simhadri, et al.. (2005). Identification and initial evaluation of 4-N-aryl-[1,4]diazepane ureas as potent CXCR3 antagonists. Bioorganic & Medicinal Chemistry Letters. 16(1). 200–203. 35 indexed citations
6.
Haskell, Christopher A., Richard Horuk, Meina Liang, et al.. (2005). Identification and Characterization of a Potent, Selective Nonpeptide Agonist of the CC Chemokine Receptor CCR8. Molecular Pharmacology. 69(1). 309–316. 27 indexed citations
7.
8.
Lesnik, Philippe, Christopher A. Haskell, & Israel Charo. (2003). Decreased atherosclerosis in CX3CR1–/– mice reveals a role for fractalkine in atherogenesis. Journal of Clinical Investigation. 111(3). 333–340. 387 indexed citations
9.
Lesnik, Philippe, Christopher A. Haskell, & Israel Charo. (2003). Decreased atherosclerosis in CX3CR1–/– mice reveals a role for fractalkine in atherogenesis. Journal of Clinical Investigation. 111(3). 333–340. 36 indexed citations
10.
Haskell, Christopher A., Sofia Ribeiro, & Richard Horuk. (2002). Chemokines in transplant rejection.. PubMed. 3(3). 399–405. 8 indexed citations
11.
Haskell, Christopher A., Wayne W. Hancock, David J. Salant, et al.. (2001). Targeted deletion of CX3CR1 reveals a role for fractalkine in cardiac allograft rejection. Journal of Clinical Investigation. 108(5). 679–688. 137 indexed citations
12.
Tsou, Chia-Lin, Christopher A. Haskell, & Israel Charo. (2001). Tumor Necrosis Factor-α-converting Enzyme Mediates the Inducible Cleavage of Fractalkine. Journal of Biological Chemistry. 276(48). 44622–44626. 180 indexed citations
13.
Haskell, Christopher A., Wayne W. Hancock, David J. Salant, et al.. (2001). Targeted deletion of CX3CR1 reveals a role for fractalkine in cardiac allograft rejection. Journal of Clinical Investigation. 108(5). 679–688. 12 indexed citations
14.
Haskell, Christopher A., Michael D. Cleary, & Israel Charo. (2000). Unique Role of the Chemokine Domain of Fractalkine in Cell Capture. Journal of Biological Chemistry. 275(44). 34183–34189. 106 indexed citations
15.
Haskell, Christopher A., Michael D. Cleary, & Israel Charo. (1999). Molecular Uncoupling of Fractalkine-mediated Cell Adhesion and Signal Transduction. Journal of Biological Chemistry. 274(15). 10053–10058. 199 indexed citations
16.
Imai, Toshio, Kunio Hieshima, Christopher A. Haskell, et al.. (1997). Identification and Molecular Characterization of Fractalkine Receptor CX3CR1, which Mediates Both Leukocyte Migration and Adhesion. Cell. 91(4). 521–530. 1185 indexed citations breakdown →

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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