Christopher B. McClain

1.0k total citations
9 papers, 670 citations indexed

About

Christopher B. McClain is a scholar working on Immunology, Molecular Biology and Cancer Research. According to data from OpenAlex, Christopher B. McClain has authored 9 papers receiving a total of 670 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Immunology, 3 papers in Molecular Biology and 3 papers in Cancer Research. Recurrent topics in Christopher B. McClain's work include Immunotherapy and Immune Responses (3 papers), Liver physiology and pathology (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). Christopher B. McClain is often cited by papers focused on Immunotherapy and Immune Responses (3 papers), Liver physiology and pathology (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). Christopher B. McClain collaborates with scholars based in United States, Australia and India. Christopher B. McClain's co-authors include Anna Mae Diehl, Paul Akerman, S. Q. Yang, G. J. Bagby, Sally Nelson, Nina Bhardwaj, Christopher L. Karp, Shiqi Yang, Andrew S. Klein and Benjamin D. Greenbaum and has published in prestigious journals such as Cell, Hepatology and Cancer Research.

In The Last Decade

Christopher B. McClain

9 papers receiving 659 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher B. McClain United States 6 295 211 191 191 175 9 670
Junaid Ibrahim United States 10 217 0.7× 231 1.1× 121 0.6× 318 1.7× 121 0.7× 11 704
Aiting Yang China 15 300 1.0× 255 1.2× 132 0.7× 102 0.5× 104 0.6× 29 712
Daniel Caballero‐Díaz Spain 8 208 0.7× 172 0.8× 93 0.5× 105 0.5× 180 1.0× 9 706
Victoria L. Gadd United Kingdom 14 415 1.4× 490 2.3× 255 1.3× 156 0.8× 65 0.4× 22 915
Mirko Mehde Germany 6 558 1.9× 354 1.7× 225 1.2× 83 0.4× 87 0.5× 7 794
Masahiro Hamanoue Japan 16 356 1.2× 181 0.9× 312 1.6× 69 0.4× 158 0.9× 30 893
Albert Geerts Belgium 13 458 1.6× 349 1.7× 200 1.0× 103 0.5× 99 0.6× 19 884
Kunimaro Furuta Japan 17 298 1.0× 405 1.9× 109 0.6× 90 0.5× 55 0.3× 32 776
Hiroyuki Fuke Japan 14 299 1.0× 225 1.1× 148 0.8× 48 0.3× 110 0.6× 38 746
Valeria Mariotti United States 12 262 0.9× 156 0.7× 382 2.0× 48 0.3× 233 1.3× 16 740

Countries citing papers authored by Christopher B. McClain

Since Specialization
Citations

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

Fields of papers citing papers by Christopher B. McClain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher B. McClain

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

All Works

9 of 9 papers shown
1.
Balan, Sreekumar, Ante Peros, Ingrid Leal Rojas, et al.. (2025). Harnessing Notch Signaling to Enhance the Generation and Functionality of Human Conventional Type 1 Dendritic Cells for Cancer Immunotherapy Applications. Cancer Immunology Research. 13(9). 1328–1341. 1 indexed citations
2.
McClain, Christopher B., et al.. (2021). MMP2 and TLRs modulate immune responses in the tumor microenvironment. JCI Insight. 6(12). 45 indexed citations
3.
Roudko, Vladimir, Cansu Cimen Bozkus, Theofano Orfanelli, et al.. (2020). Shared Immunogenic Poly-Epitope Frameshift Mutations in Microsatellite Unstable Tumors. Cell. 183(6). 1634–1649.e17. 121 indexed citations
4.
Pavlick, Anna C., Ana-Belén Blázquez, Marcia Meseck, et al.. (2019). Combined Vaccination with NY-ESO-1 Protein, Poly-ICLC, and Montanide Improves Humoral and Cellular Immune Responses in Patients with High-Risk Melanoma. Cancer Immunology Research. 8(1). 70–80. 56 indexed citations
5.
Noto, Fallon K., Kameswaran Ravichandran, Wei Zhang, et al.. (2018). Sprague Dawley Rag2 -Null Rats Created from Engineered Spermatogonial Stem Cells Are Immunodeficient and Permissive to Human Xenografts. Molecular Cancer Therapeutics. 17(11). 2481–2489. 15 indexed citations
6.
Noto, Fallon K., et al.. (2018). Abstract B36: Novel immunodeficient rat models capable of supporting the growth of human tumor xenografts. Cancer Research. 78(10_Supplement). B36–B36. 1 indexed citations
7.
Yang, Shiqi, et al.. (1996). Kupffer cell depletion by gadolinium chloride enhances liver regeneration after partial hepatectomy in rats. American Journal of Physiology-Gastrointestinal and Liver Physiology. 270(6). G909–G918. 96 indexed citations
8.
McClain, Christopher B.. (1993). Antioxidants modulate monocyte/Kupffer cell tumor necrosis factor prduction. Hepatology. 18(4). A131–A131. 2 indexed citations
9.
Akerman, Paul, S. Q. Yang, Christopher B. McClain, et al.. (1992). Antibodies to tumor necrosis factor-alpha inhibit liver regeneration after partial hepatectomy. American Journal of Physiology-Gastrointestinal and Liver Physiology. 263(4). G579–G585. 333 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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