Brian A. Belt

6.0k total citations · 2 hit papers
45 papers, 4.0k citations indexed

About

Brian A. Belt is a scholar working on Oncology, Immunology and Surgery. According to data from OpenAlex, Brian A. Belt has authored 45 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Oncology, 25 papers in Immunology and 7 papers in Surgery. Recurrent topics in Brian A. Belt's work include Immune cells in cancer (18 papers), Cancer Immunotherapy and Biomarkers (12 papers) and Pancreatic and Hepatic Oncology Research (12 papers). Brian A. Belt is often cited by papers focused on Immune cells in cancer (18 papers), Cancer Immunotherapy and Biomarkers (12 papers) and Pancreatic and Hepatic Oncology Research (12 papers). Brian A. Belt collaborates with scholars based in United States, United Kingdom and Ireland. Brian A. Belt's co-authors include David C. Linehan, Peter S. Goedegebuure, David G. DeNardo, Jonathan B. Mitchem, Dominic E. Sanford, William E. Gillanders, Andrea Wang‐Gillam, Timothy J. Eberlein, Roheena Z. Panni and Danielle Carpenter and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Brian A. Belt

43 papers receiving 4.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Targeting Tumor-Infiltrating Macrophages Decreases Tumor-Initiating Cells, Relieves Immunosuppression, and Improves Chemotherapeutic Responses

2012 759 citations Jonathan B. Mitchem, Donal J. Brennan et al. Cancer Research profile →
Inflammatory Monocyte Mobilization Decreases Patient Survival in Pancreatic Cancer: A Role for Targeting the CCL2/CCR2 Axis

2013 479 citations Dominic E. Sanford, Brian A. Belt et al. Clinical Cancer Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Brian A. Belt United States	22	2.6k	2.5k	1.0k	431	211	45	4.0k
Brett L. Knolhoff United States	17	2.8k 1.1×	2.9k 1.2×	1.2k 1.2×	576 1.3×	221 1.0×	27	4.6k
Laura Strauss United States	29	3.2k 1.2×	2.0k 0.8×	1.1k 1.1×	542 1.3×	109 0.5×	46	4.5k
Takuro Noguchi Japan	13	1.7k 0.7×	1.6k 0.6×	1.1k 1.0×	889 2.1×	93 0.4×	49	3.3k
Sergey V. Novitskiy United States	29	1.6k 0.6×	1.6k 0.7×	1.6k 1.6×	665 1.5×	100 0.5×	51	4.0k
Yoko Oei United States	12	1.9k 0.8×	1.1k 0.4×	1.4k 1.3×	338 0.8×	332 1.6×	17	3.6k
Camille Guillerey Australia	20	2.0k 0.8×	1.5k 0.6×	942 0.9×	212 0.5×	106 0.5×	26	3.2k
Courtney A. Crane United States	22	2.1k 0.8×	2.0k 0.8×	876 0.9×	351 0.8×	60 0.3×	34	3.7k
Michel DuPage United States	13	1.7k 0.7×	1.4k 0.5×	1.2k 1.2×	457 1.1×	74 0.4×	20	3.2k
Marsha L. Quick United States	12	1.9k 0.7×	975 0.4×	763 0.7×	384 0.9×	118 0.6×	15	2.9k
Andrew Deonarine United States	10	884 0.3×	1.5k 0.6×	670 0.7×	324 0.8×	114 0.5×	18	2.2k

Countries citing papers authored by Brian A. Belt

Since Specialization

Citations

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

Fields of papers citing papers by Brian A. Belt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian A. Belt

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

All Works

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20 of 20 papers shown

Alexander, W. Brock, Wenjia Wang, Margaret Hill, et al.. (2024). Smad4 restricts injury-provoked biliary proliferation and carcinogenesis. Disease Models & Mechanisms. 17(6). 5 indexed citations

Ye, Jian, Angela Hughson, Gary Hannon, et al.. (2023). CD73 and PD-L1 dual blockade amplifies antitumor efficacy of SBRT in murine PDAC models. Journal for ImmunoTherapy of Cancer. 11(5). e006842–e006842. 15 indexed citations

Ruffolo, Luis I., Brian A. Belt, Paul R. Burchard, et al.. (2022). Inferior Survival Is Associated With Socioeconomic Deprivation in Hepatocellular Carcinoma. Journal of Surgical Research. 279. 228–239. 14 indexed citations

Ruffolo, Luis I., Katherine M. Jackson, Brian A. Belt, et al.. (2022). Socioeconomic Barriers Drive Mortality in Early Stage Hepatocellular Carcinoma. HPB. 24. S137–S137. 1 indexed citations

Ye, Jian, Bradley N. Mills, Booyeon J. Han, et al.. (2019). Assessing the Magnitude of Immunogenic Cell Death Following Chemotherapy and Irradiation Reveals a New Strategy to Treat Pancreatic Cancer. Cancer Immunology Research. 8(1). 94–107. 29 indexed citations

Rashid, Naim U., Xianlu L. Peng, Chong Jin, et al.. (2019). Purity Independent Subtyping of Tumors (PurIST), A Clinically Robust, Single-sample Classifier for Tumor Subtyping in Pancreatic Cancer. Clinical Cancer Research. 26(1). 82–92. 104 indexed citations

Noel, Marcus Smith, Eileen M. O’Reilly, Brian M. Wolpin, et al.. (2019). Phase 1b study of a small molecule antagonist of human chemokine (C-C motif) receptor 2 (PF-04136309) in combination with nab-paclitaxel/gemcitabine in first-line treatment of metastatic pancreatic ductal adenocarcinoma. Investigational New Drugs. 38(3). 800–811. 145 indexed citations

Mills, Bradley N., Kelli A. Connolly, Jian Ye, et al.. (2019). Stereotactic Body Radiation and Interleukin-12 Combination Therapy Eradicates Pancreatic Tumors by Repolarizing the Immune Microenvironment. Cell Reports. 29(2). 406–421.e5. 60 indexed citations

Ruhland, Megan K., Andrew J. Loza, Aude-Hélène Capietto, et al.. (2016). Stromal senescence establishes an immunosuppressive microenvironment that drives tumorigenesis. Nature Communications. 7(1). 11762–11762. 350 indexed citations

10.

Grossman, Julie, Timothy M. Nywening, Brian A. Belt, et al.. (2015). The role of inflammatory monocytes in human metastatic colorectal cancer.. Journal of Clinical Oncology. 33(3_suppl). 624–624. 1 indexed citations

11.

Panni, Roheena Z., Dominic E. Sanford, Brian A. Belt, et al.. (2014). Tumor-induced STAT3 activation in monocytic myeloid-derived suppressor cells enhances stemness and mesenchymal properties in human pancreatic cancer. Cancer Immunology Immunotherapy. 63(5). 513–528. 173 indexed citations

12.

Sanford, Dominic E., Brian A. Belt, Roheena Z. Panni, et al.. (2013). Inflammatory Monocyte Mobilization Decreases Patient Survival in Pancreatic Cancer: A Role for Targeting the CCL2/CCR2 Axis. Clinical Cancer Research. 19(13). 3404–3415. 479 indexed citations breakdown →

13.

Sanford, Dominic E., Matthew R. Porembka, Roheena Z. Panni, et al.. (2013). A Study of Zoledronic Acid as Neo-Adjuvant, Perioperative Therapy in Patients with Resectable Pancreatic Ductal Adenocarcinoma. Journal of Cancer Therapy. 4(3). 797–803. 25 indexed citations

14.

Li, Lijin, Sojung Kim, John M. Herndon, et al.. (2012). Cross-dressed CD8α ⁺ /CD103 ⁺ dendritic cells prime CD8 ⁺ T cells following vaccination. Proceedings of the National Academy of Sciences. 109(31). 12716–12721. 63 indexed citations

15.

Mitchem, Jonathan B., Donal J. Brennan, Brett L. Knolhoff, et al.. (2012). Targeting Tumor-Infiltrating Macrophages Decreases Tumor-Initiating Cells, Relieves Immunosuppression, and Improves Chemotherapeutic Responses. Cancer Research. 73(3). 1128–1141. 759 indexed citations breakdown →

16.

Goedegebuure, Peter S., Jonathan B. Mitchem, Matthew R. Porembka, et al.. (2011). Myeloid-Derived Suppressor Cells: General Characteristics and Relevance to Clinical Management of Pancreatic Cancer. Current Cancer Drug Targets. 11(6). 734–751. 91 indexed citations

17.

Fox, Amy, Charles M. Robertson, Brian A. Belt, et al.. (2010). Cancer causes increased mortality and is associated with altered apoptosis in murine sepsis*. Critical Care Medicine. 38(3). 886–893. 44 indexed citations

18.

Tan, Marcus, Peter S. Goedegebuure, Brian A. Belt, et al.. (2009). Disruption of CCR5-Dependent Homing of Regulatory T Cells Inhibits Tumor Growth in a Murine Model of Pancreatic Cancer. The Journal of Immunology. 182(3). 1746–1755. 351 indexed citations

19.

Glanzer, Jason G., et al.. (2004). Single neurons as experimental systems in molecular biology. Progress in Neurobiology. 72(2). 129–142. 17 indexed citations

20.

Eberwine, James, et al.. (2002). Analysis of Subcellularly Localized mRNAs Using in Situ Hybridization, mRNA Amplification, and Expression Profiling. Neurochemical Research. 27(10). 1065–1077. 99 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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