Stephen Muth
Impact in
- Oncology top 10%
- Pancreatic and Hepatic Oncology Research
- Cancer Immunotherapy and Biomarkers
- Cancer Cells and Metastasis
- Immunology top 10%
- Immune cells in cancer
- Immunotherapy and Immune Responses
- Phagocytosis and Immune Regulation
Papers in
- Oncology 10
- Pancreatic and Hepatic Oncology Research 6
- Cancer Immunotherapy and Biomarkers 5
- CAR-T cell therapy research 3
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- Immune cells in cancer 3
- Co-authors
- Lei Zheng (13 shared papers)Alex B. Blair (7 shared papers)Elizabeth M. Jaffee (9 shared papers)Ding Ding (4 shared papers)Kenji Fujiwara (5 shared papers)Dwayne L. Thomas (3 shared papers)Noelle R. Jurcak (5 shared papers)May Tun Saung (4 shared papers)
- Journals
- Journal for ImmunoTherapy of Cancer (3 papers)Cancer Research (3 papers)Cancer Letters (2 papers)Biology of Blood and Marrow Transplantation (2 papers)Clinical Cancer Research (1 paper)
- Partner nations
- United StatesJapanChina
In The Last Decade
Stephen Muth
18 papers receiving 641 citations
Peers
Comparison fields: 5 of 58
- Oncology 337
- Immunology 259
- Biological Psychiatry 14
- Cancer Research 65
- Psychiatry and Mental health 59
Countries citing papers authored by Stephen Muth
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 136 | |
| 2 | 2021 | 72 | |
| 3 | 2019 | 66 | |
| 4 | 2019 | 58 | |
| 5 | 2019 | 55 | |
| 6 | 2018 | 47 | |
| 7 | 2020 | 33 | |
| 8 | 2020 | 29 | |
| 9 | 2017 | 28 | |
| 10 | 2020 | 27 | |
| 11 | 2018 | 26 | |
| 12 | 2020 | 25 | |
| 13 | 2022 | 22 | |
| 14 | 2017 | 11 | |
| 15 | 2017 | 4 | |
| 16 | 2019 | 1 | |
| 17 | 2018 | 1 | |
| 18 | 2019 | 1 |
About Stephen Muth
Stephen Muth is a scholar working on Oncology, Immunology, Molecular Biology, Cellular and Molecular Neuroscience and Biological Psychiatry, having authored 18 papers that have together received 642 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (6 papers), Cancer Immunotherapy and Biomarkers (5 papers), Axon Guidance and Neuronal Signaling (3 papers), Immune cells in cancer (3 papers), CAR-T cell therapy research (3 papers), Epigenetics and DNA Methylation (2 papers), Hematopoietic Stem Cell Transplantation (2 papers) and Cancer Research and Treatments (2 papers). The work is most often cited by research in Oncology (337 citations), Immunology (259 citations), Biological Psychiatry (14 citations), Cancer Research (65 citations) and Psychiatry and Mental health (59 citations). Stephen Muth has collaborated with scholars based in United States, Japan and China. 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 Agnieszka A. Rucki. Their work appears in journals such as Journal for ImmunoTherapy of Cancer, Cancer Research, Cancer Letters, Biology of Blood and Marrow Transplantation and Clinical Cancer Research.
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.