Mark Ebbert

5.5k total citations · 2 hit papers
55 papers, 2.7k citations indexed

About

Mark Ebbert is a scholar working on Molecular Biology, Genetics and Physiology. According to data from OpenAlex, Mark Ebbert has authored 55 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 13 papers in Genetics and 10 papers in Physiology. Recurrent topics in Mark Ebbert's work include Alzheimer's disease research and treatments (9 papers), Bioinformatics and Genomic Networks (7 papers) and Breast Cancer Treatment Studies (7 papers). Mark Ebbert is often cited by papers focused on Alzheimer's disease research and treatments (9 papers), Bioinformatics and Genomic Networks (7 papers) and Breast Cancer Treatment Studies (7 papers). Mark Ebbert collaborates with scholars based in United States, Canada and Czechia. Mark Ebbert's co-authors include Philip S. Bernard, Inge J. Stijleman, Perry G. Ridge, Bryan E. Welm, Rachel E. Factor, Cindy Matsen, Saundra S. Buys, Yoko S. DeRose, Brett Milash and R. Lor Randall and has published in prestigious journals such as Nature Medicine, Nature Genetics and The Journal of Experimental Medicine.

In The Last Decade

Mark Ebbert

54 papers receiving 2.7k citations

Hit Papers

Tumor grafts derived from women with breast cancer authen... 2010 2026 2015 2020 2011 2010 200 400 600

Peers

Mark Ebbert
Comparison fields: 5 of 114
  • Molecular Biology 1.1k
  • Oncology 976
  • Cancer Research 953
  • Genetics 460
  • Physiology 290
Replace Rakesh Nagarajan with:
Rakesh Nagarajan United States
Dirce Maria Carraro Brazil
John Easton United States
Lionel M.L. Chow United States
Ashish Rajput Canada
Ma. Xenia G. Ilagan United States
Lilian Phu United States
Jason H. Bielas United States
Galit Rotman Israel
Martin Enge Sweden
Rakesh Nagarajan United States View profile →
Citations per field, relative to Mark Ebbert
Mark Ebbert · 1×
Citations per year, relative to Mark Ebbert
Mark Ebbert · 1×

Countries citing papers authored by Mark Ebbert

Since Specialization
Citations

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

Fields of papers citing papers by Mark Ebbert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Ebbert

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 4
3 2
4 4
5 11
6 3
7 49
8 8
9 38
10 54
11 164
12 28
13 12
14 10
15 17
16 94
17 9
18 105
19
A Comparison of PAM50 Intrinsic Subtyping with Immunohistochemistry and Clinical Prognostic Factors in Tamoxifen-Treated Estrogen Receptor–Positive Breast Cancer breakdown →
542
20 38

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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