Tim W. Sproul

458 total citations
10 papers, 313 citations indexed

About

Tim W. Sproul is a scholar working on Immunology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Tim W. Sproul has authored 10 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 3 papers in Molecular Biology and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Tim W. Sproul's work include Immunotherapy and Immune Responses (7 papers), T-cell and B-cell Immunology (5 papers) and Immune Cell Function and Interaction (5 papers). Tim W. Sproul is often cited by papers focused on Immunotherapy and Immune Responses (7 papers), T-cell and B-cell Immunology (5 papers) and Immune Cell Function and Interaction (5 papers). Tim W. Sproul collaborates with scholars based in United States and Germany. Tim W. Sproul's co-authors include Susan K. Pierce, Julie Kim, Paul C. Cheng, Michelle Dykstra, Michael R. Chen, Anu Cherukuri, Susan K. Pierce, Sharmila Sambanthamoorthy, Ruth Y. Lan and Nathan O. Siemers and has published in prestigious journals such as The Journal of Immunology, Cancer Research and Bioconjugate Chemistry.

In The Last Decade

Tim W. Sproul

9 papers receiving 303 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tim W. Sproul United States	7	216	108	72	47	18	10	313
Floriana Cremasco Switzerland	4	181 0.8×	71 0.7×	67 0.9×	24 0.5×	13 0.7×	5	273
Cole T. Thomson United States	8	275 1.3×	178 1.6×	75 1.0×	47 1.0×	18 1.0×	9	435
AeRyon Kim United States	8	148 0.7×	94 0.9×	35 0.5×	55 1.2×	5 0.3×	14	262
C M D'Urso Italy	6	241 1.1×	103 1.0×	123 1.7×	36 0.8×	6 0.3×	7	355
A Weiss United States	5	284 1.3×	214 2.0×	65 0.9×	52 1.1×	18 1.0×	6	404
Chiyoko Nishime Japan	8	95 0.4×	97 0.9×	87 1.2×	20 0.4×	10 0.6×	20	270
Heather Brouwer United Kingdom	6	350 1.6×	83 0.8×	250 3.5×	26 0.6×	14 0.8×	7	408
Nicola Schönewolf Switzerland	5	186 0.9×	156 1.4×	113 1.6×	9 0.2×	37 2.1×	5	350
Emily Labriola–Tompkins United States	6	118 0.5×	146 1.4×	59 0.8×	34 0.7×	5 0.3×	10	277
Gary Caviness United States	7	115 0.5×	59 0.5×	27 0.4×	36 0.8×	19 1.1×	11	208

Countries citing papers authored by Tim W. Sproul

Since Specialization

Citations

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

Fields of papers citing papers by Tim W. Sproul

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tim W. Sproul. 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 Tim W. Sproul. The network helps show where Tim W. Sproul may publish in the future.

Co-authorship network of co-authors of Tim W. Sproul

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

All Works

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10 of 10 papers shown

Yamazoe, Sayumi, Qian Zhang, Arvind Rajpal, et al.. (2025). Design and Characterization of an Anti-Clec9a Antibody Armed with CpG Oligonucleotides To Enable Targeted Delivery of Adjuvant to Cross-Presenting Dendritic Cells. ACS Chemical Biology. 20(9). 2180–2190.

Sega, Emanuela, Srikanth Kotapati, Yam B. Poudel, et al.. (2025). Targeted Delivery of TLR7 Agonists to the Tumor Microenvironment Enhances Tumor Immunity via Activation of Tumor-Resident Myeloid Cells. Bioconjugate Chemistry. 36(3). 437–448. 4 indexed citations

Lee, Peter S., Katherine G. MacDonald, Christine Bee, et al.. (2022). Improved therapeutic index of an acidic pH-selective antibody. mAbs. 14(1). 2024642–2024642. 19 indexed citations

McDonald, Bryan, Nathan O. Siemers, Mark Selby, et al.. (2021). Fc-Optimized Anti-CCR8 Antibody Depletes Regulatory T Cells in Human Tumor Models. Cancer Research. 81(11). 2983–2994. 76 indexed citations

Lan, Ruth Y., Nathan O. Siemers, Kai Lǚ, et al.. (2020). Abstract 6694: Highly selective anti-CCR8 antibody-mediated depletion of regulatory T cells leads to potent antitumor activity alone and in combination with anti-PD-1 in preclinical models. Cancer Research. 80(16_Supplement). 6694–6694. 6 indexed citations

Wang, Feng, Jordan C. Tsai, Jonathan H. Davis, et al.. (2019). Design and characterization of mouse IgG1 and IgG2a bispecific antibodies for use in syngeneic models. mAbs. 12(1). 1685350–1685350. 15 indexed citations

Cheng, Paul C., Anu Cherukuri, Michelle Dykstra, et al.. (2001). Floating the raft hypothesis: the roles of lipid rafts in B cell antigen receptor function. Seminars in Immunology. 13(2). 107–114. 58 indexed citations

Sproul, Tim W., et al.. (2000). Cutting Edge: B Cell Antigen Receptor Signaling Occurs Outside Lipid Rafts in Immature B Cells. The Journal of Immunology. 165(11). 6020–6023. 102 indexed citations

Cheng, Pan, et al.. (2000). B-Lymphocyte Signaling Receptors and the Control of Class-II Antigen Processing. Current topics in microbiology and immunology. 245(2). 101–126. 15 indexed citations

10.

Sproul, Tim W., Paul C. Cheng, Michelle Dykstra, & Susan K. Pierce. (2000). A Role for MHC Class II Antigen Processing in B Cell Development. International Reviews of Immunology. 19(2-3). 139–155. 18 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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