Stephen Muth

948 citations
18 papers · 624 · h-index 13

Impact in

  • Oncology top 10%
    • Pancreatic and Hepatic Oncology Research
    • Cancer Immunotherapy and Biomarkers
    • Cancer Cells and Metastasis
    • CAR-T cell therapy research
  • Immunology top 10%
    • Immune cells in cancer
    • Immunotherapy and Immune Responses
    • Phagocytosis and Immune Regulation

Papers in

    • Pancreatic and Hepatic Oncology Research 9
    • Cancer Immunotherapy and Biomarkers 7
    • CAR-T cell therapy research 3
    • Immune cells in cancer 4

Stephen Muth

18 papers receiving 624 citations

Peers

Stephen Muth
Comparison fields: 5 of 60
  • Oncology 369
  • Immunology 285
  • Biological Psychiatry 14
  • Cancer Research 82
  • Biotechnology 36
Replace Kelly Foley with:
Kelly Foley United States
Erin A. Brunazzi United States
Yuedi Wang China
Felipe Gálvez‐Cancino Chile
Douglas Marvel United States
Steven K. Grossenbacher United States
Hiromu Yano Japan
James L. Sung United States
William W. Ho United States
Moa Fransson Sweden
Stephen Muth relative to Kelly Foley United States Kelly Foley's profile →
Citations per field
00.5×3.6×
Kelly Foley · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Stephen Muth, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Stephen Muth Line = papers co-authored together Stephen Muth links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2019128
2 202169
3 201964
4 201957
5 201955
6 201847
7 202033
8 202029
9 201728
10 201826
11 202026
12 202024
13 202220
14 201711
15 20174
16 20181
17 20191
18 20191

About Stephen Muth

Stephen Muth is a scholar working on Oncology, Immunology, Molecular Biology, Cellular and Molecular Neuroscience and Biotechnology, having authored 18 papers that have together received 624 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (9 papers), Cancer Immunotherapy and Biomarkers (7 papers), Immune cells in cancer (4 papers), Cancer Research and Treatments (3 papers), CAR-T cell therapy research (3 papers), Axon Guidance and Neuronal Signaling (3 papers), Hedgehog Signaling Pathway Studies (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Oncology (369 citations), Immunology (285 citations), Biological Psychiatry (14 citations), Cancer Research (82 citations) and Biotechnology (36 citations). Stephen Muth has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Lei Zheng, Alex B. Blair, Elizabeth M. Jaffee, Ding Ding, Kenji Fujiwara, Dwayne L. Thomas, Noelle R. Jurcak, May Tun Saung, Jennifer Kleponis and Adrian Murphy. Their work appears in journals such as Journal for ImmunoTherapy of Cancer, Cancer Research, Cancer Letters, Biology of Blood and Marrow Transplantation and Molecular Cancer Therapeutics.

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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