Stephen Muth

948 total citations
18 papers, 624 citations indexed

About

Stephen Muth is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Stephen Muth has authored 18 papers receiving a total of 624 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Oncology, 7 papers in Immunology and 4 papers in Molecular Biology. Recurrent topics in Stephen Muth's work include Pancreatic and Hepatic Oncology Research (9 papers), Cancer Immunotherapy and Biomarkers (7 papers) and Immune cells in cancer (4 papers). Stephen Muth is often cited by papers focused on Pancreatic and Hepatic Oncology Research (9 papers), Cancer Immunotherapy and Biomarkers (7 papers) and Immune cells in cancer (4 papers). Stephen Muth collaborates with scholars based in United States, China and Japan. Stephen Muth's co-authors include Lei Zheng, Alex B. Blair, Elizabeth M. Jaffee, Ding Ding, Dwayne L. Thomas, Kenji Fujiwara, May Tun Saung, Noelle R. Jurcak, Jennifer Kleponis and Adrian Murphy and has published in prestigious journals such as Journal of Clinical Investigation, Gastroenterology and Cancer Research.

In The Last Decade

Stephen Muth

18 papers receiving 624 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephen Muth United States 13 369 285 197 82 56 18 624
Kelly Foley United States 10 357 1.0× 266 0.9× 335 1.7× 124 1.5× 21 0.4× 14 695
Erin A. Brunazzi United States 6 438 1.2× 634 2.2× 228 1.2× 149 1.8× 21 0.4× 8 896
Felipe Gálvez‐Cancino Chile 11 286 0.8× 362 1.3× 136 0.7× 55 0.7× 22 0.4× 19 570
Yuedi Wang China 8 280 0.8× 300 1.1× 196 1.0× 83 1.0× 17 0.3× 10 573
William W. Ho United States 8 235 0.6× 266 0.9× 162 0.8× 64 0.8× 28 0.5× 21 514
Max Diehn United States 5 247 0.7× 162 0.6× 314 1.6× 94 1.1× 9 0.2× 8 597
Marie Laviron France 8 260 0.7× 517 1.8× 231 1.2× 67 0.8× 12 0.2× 8 688
James L. Sung United States 5 332 0.9× 392 1.4× 219 1.1× 71 0.9× 29 0.5× 5 674
Christopher Duntsch United States 12 221 0.6× 108 0.4× 260 1.3× 113 1.4× 10 0.2× 13 638
Е. P. Kisseleva Russia 5 262 0.7× 200 0.7× 228 1.2× 77 0.9× 9 0.2× 17 504

Countries citing papers authored by Stephen Muth

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Muth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen Muth. 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 Stephen Muth. The network helps show where Stephen Muth may publish in the future.

Co-authorship network of co-authors of Stephen Muth

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

All Works

18 of 18 papers shown
1.
Li, Pan, Noah Rozich, Jianxin Wang, et al.. (2022). Anti-IL-8 antibody activates myeloid cells and potentiates the anti-tumor activity of anti-PD-1 antibody in the humanized pancreatic cancer murine model. Cancer Letters. 539. 215722–215722. 20 indexed citations
2.
Zhang, Mengwen, Kenji Fujiwara, Noelle R. Jurcak, et al.. (2021). Pancreatic cancer cells render tumor-associated macrophages metabolically reprogrammed by a GARP and DNA methylation-mediated mechanism. Signal Transduction and Targeted Therapy. 6(1). 366–366. 69 indexed citations
3.
Kim, Victoria M., Kevin C. Soares, Nita Ahuja, et al.. (2020). Neoantigen-based EpiGVAX vaccine initiates antitumor immunity in colorectal cancer. JCI Insight. 5(9). 24 indexed citations
6.
Fujiwara, Kenji, May Tun Saung, Hao Jing, et al.. (2020). Interrogating the immune-modulating roles of radiation therapy for a rational combination with immune-checkpoint inhibitors in treating pancreatic cancer. Journal for ImmunoTherapy of Cancer. 8(2). e000351–e000351. 29 indexed citations
7.
Blair, Alex B., Victoria M. Kim, Stephen Muth, et al.. (2019). Dissecting the Stromal Signaling and Regulation of Myeloid Cells and Memory Effector T Cells in Pancreatic Cancer. Clinical Cancer Research. 25(17). 5351–5363. 64 indexed citations
8.
Blair, Alex B., Jennifer Kleponis, Dwayne L. Thomas, et al.. (2019). IDO1 inhibition potentiates vaccine-induced immunity against pancreatic adenocarcinoma. Journal of Clinical Investigation. 129(4). 1742–1755. 57 indexed citations
9.
Kim, Victoria M., Alex B. Blair, Peter Lauer, et al.. (2019). Anti-pancreatic tumor efficacy of a Listeria-based, Annexin A2-targeting immunotherapy in combination with anti-PD-1 antibodies. Journal for ImmunoTherapy of Cancer. 7(1). 132–132. 55 indexed citations
10.
Jurcak, Noelle R., Agnieszka A. Rucki, Stephen Muth, et al.. (2019). Axon Guidance Molecules Promote Perineural Invasion and Metastasis of Orthotopic Pancreatic Tumors in Mice. Gastroenterology. 157(3). 838–850.e6. 128 indexed citations
11.
Jurcak, Noelle R., Stephen Muth, Kenji Fujiwara, et al.. (2019). Abstract 167: Semaphorin3D signaling in the invasion and metastasis of pancreatic ductal adenocarcinoma. Cancer Research. 79(13_Supplement). 167–167. 1 indexed citations
12.
Jurcak, Noelle R., Fei Lee, Noah Rozich, et al.. (2019). Abstract 1561: Evaluation of mesothelin BiTE® antibody constructs in models of pancreatic ductal adenocarcinoma. Cancer Research. 79(13_Supplement). 1561–1561. 1 indexed citations
13.
Saung, May Tun, Stephen Muth, Ding Ding, et al.. (2018). Targeting myeloid-inflamed tumor with anti-CSF-1R antibody expands CD137+ effector T-cells in the murine model of pancreatic cancer. Journal for ImmunoTherapy of Cancer. 6(1). 118–118. 47 indexed citations
14.
McCurdy, Shannon R., Stephen Muth, Hua-Ling Tsai, et al.. (2018). Early Fever after Haploidentical Bone Marrow Transplantation Correlates with Class II HLA-Mismatching and Myeloablation but Not Outcomes. Biology of Blood and Marrow Transplantation. 24(10). 2056–2064. 26 indexed citations
15.
Jurcak, Noelle R., Kenji Fujiwara, Agnieszka A. Rucki, et al.. (2018). Abstract 3026: Role of AnnexinA2, Sema3D and PlexinD1 in mediating perineural invasion as a mechanism of metastasis in pancreatic ductal adenocarcinoma. Cancer Research. 78(13_Supplement). 3026–3026. 1 indexed citations
16.
Rucki, Agnieszka A., Qian Xiao, Stephen Muth, et al.. (2017). Dual Inhibition of Hedgehog and c-Met Pathways for Pancreatic Cancer Treatment. Molecular Cancer Therapeutics. 16(11). 2399–2409. 28 indexed citations
17.
McCurdy, Shannon R., Stephen Muth, Hua‐Ling Tsai, et al.. (2017). Improved Event-Free Survival and Higher Incidence of Early Fever Associated with Mismatches at HLA-DRB1 after Nonmyeloablative HLA-Haploidentical Transplantation. Biology of Blood and Marrow Transplantation. 23(3). S106–S106. 4 indexed citations
18.
Foley, Kelly, Stephen Muth, Elizabeth M. Jaffee, & Lei Zheng. (2017). Hedgehog signaling stimulates Tenascin C to promote invasion of pancreatic ductal adenocarcinoma cells through Annexin A2. Cell Adhesion & Migration. 11(5-6). 514–523. 11 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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