Michael Behring

682 citations
27 papers · 457 · h-index 13

Impact in

    • Cancer, Hypoxia, and Metabolism
    • Cancer Genomics and Diagnostics
    • Cancer-related molecular mechanisms research

Papers in

    • Gut microbiota and health 2
    • Wnt/β-catenin signaling in development and cancer 2
    • Epigenetics and DNA Methylation 2
    • RNA modifications and cancer 2
    • Pancreatic and Hepatic Oncology Research 3
    • Cancer-related Molecular Pathways 2

Michael Behring

26 papers receiving 455 citations

Peers

Michael Behring
Comparison fields: 5 of 81
  • Cancer Research 130
  • Oncology 107
  • Molecular Biology 213
  • Biological Psychiatry 5
  • Immunology 39
Replace Geetika Sethi with:
Geetika Sethi United States
Anne Benard Netherlands
Xueke Qian China
Williams Fajardo Peru
Sylvain Ferrandon United States
Mei Yieng Chin Canada
Kyla Geary United States
Fernanda Wisnieski Brazil
Lorenzo Alonso Spain
Michael Behring relative to Geetika Sethi United States Geetika Sethi's profile →
Citations per field
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Geetika Sethi · 1×
Citations per year

Countries citing papers authored by Michael Behring

Since Specialization
Citations

This map shows the geographic impact of Michael 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 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 Behring more than expected).

Fields of papers citing papers by Michael Behring

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael Behring, 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 Michael Behring Line = papers co-authored together Michael Behring links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202058
2 201649
3 201944
4 202042
5 202039
6 202036
7 202234
8 201922
9 201517
10 202217
11 202115
12 201715
13 201914
14 202310
15 20198
16 20187
17 20215
18 20155
19 20234
20 20224

About Michael Behring

Michael Behring is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Cancer Research and Genetics, having authored 27 papers that have together received 457 indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (4 papers), Pancreatic and Hepatic Oncology Research (3 papers), Gut microbiota and health (2 papers), Cancer-related Molecular Pathways (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Epigenetics and DNA Methylation (2 papers), RNA modifications and cancer (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Cancer Research (130 citations), Oncology (107 citations), Molecular Biology (213 citations), Biological Psychiatry (5 citations) and Immunology (39 citations). Michael 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 S. Chandrashekar, Sadeep Shrestha and Nirzari Gupta. Their work appears in journals such as Cancer Research, Translational Oncology, Cancer Medicine, Oncotarget and Molecular Oncology.

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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