Michael P. Behring
Impact in
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- Cancer, Hypoxia, and Metabolism
- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
Papers in
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- Genetic factors in colorectal cancer 4
- Oncology 5
- Pancreatic and Hepatic Oncology Research 2
- Inflammatory Biomarkers in Disease Prognosis 1
- Co-authors
- Upender Manne (21 shared papers)Sumit Agarwal (9 shared papers)Sooryanarayana Varambally (9 shared papers)Sameer Al Diffalha (9 shared papers)Hyung‐Gyoon Kim (9 shared papers)Amr Elkholy (7 shared papers)Prachi Bajpai (7 shared papers)Darshan Shimoga Chandrashekar (5 shared papers)
- Journals
- Translational Oncology (3 papers)Cancer Medicine (2 papers)Molecular Oncology (2 papers)Oncotarget (2 papers)Cancer (2 papers)
- Partner nations
- United StatesIndiaKenya
In The Last Decade
Michael P. Behring
27 papers receiving 483 citations
Peers
Comparison fields: 5 of 81
- Cancer Research 129
- Oncology 113
- Molecular Biology 219
- Biological Psychiatry 5
- Immunology 39
Countries citing papers authored by Michael P. Behring
This map shows the geographic impact of Michael P. Behring'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 Michael P. Behring with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael P. Behring more than expected).
Fields of papers citing papers by Michael P. Behring
This network shows the impact of papers produced by Michael P. Behring. 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 Michael P. Behring. The network helps show where Michael P. Behring may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael P. Behring, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 64 | |
| 2 | 2016 | 49 | |
| 3 | 2019 | 46 | |
| 4 | 2020 | 42 | |
| 5 | 2020 | 39 | |
| 6 | 2020 | 36 | |
| 7 | 2022 | 35 | |
| 8 | 2019 | 24 | |
| 9 | 2022 | 23 | |
| 10 | 2021 | 18 | |
| 11 | 2015 | 17 | |
| 12 | 2017 | 15 | |
| 13 | 2019 | 14 | |
| 14 | 2023 | 10 | |
| 15 | 2023 | 10 | |
| 16 | 2019 | 8 | |
| 17 | 2018 | 7 | |
| 18 | 2021 | 6 | |
| 19 | 2015 | 5 | |
| 20 | 2023 | 5 |
About Michael P. Behring
Michael P. Behring is a scholar working on Pathology and Forensic Medicine, Oncology, Cancer Research, Molecular Biology and Genetics, having authored 27 papers that have together received 486 indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (4 papers), Epigenetics and DNA Methylation (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Bioinformatics and Genomic Networks (2 papers), Pancreatic and Hepatic Oncology Research (2 papers), Gut microbiota and health (2 papers), Inflammatory Biomarkers in Disease Prognosis (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Cancer Research (129 citations), Oncology (113 citations), Molecular Biology (219 citations), Biological Psychiatry (5 citations) and Immunology (39 citations). Michael P. Behring has collaborated with scholars based in United States, India and Kenya. Frequent co-authors include Upender Manne, Sumit Agarwal, Sooryanarayana Varambally, Sameer Al Diffalha, Hyung‐Gyoon Kim, Amr Elkholy, Prachi Bajpai, Darshan Shimoga Chandrashekar, Sadeep Shrestha and Lyse A. Norian. Their work appears in journals such as Translational Oncology, Cancer Medicine, Molecular Oncology, Oncotarget and Cancer.
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.