Mark Ebbert

5.7k citations
61 papers · 4.0k · 1 hit paper · h-index 28

Impact in

    • Breast Cancer Treatment Studies
    • Cancer Genomics and Diagnostics
  • Oncology top 5%
    • Cancer Cells and Metastasis
    • HER2/EGFR in Cancer Research

Papers in

Mark Ebbert

58 papers receiving 3.9k citations

Mark Ebbert's Hit Papers

Tumor grafts derived from women with breast cancer authentically reflect tumor pathology, growth, metastasis and disease outcomes 2011 · 822 citations
8220+5+10Years since publication250500750

Peers

Mark Ebbert
Comparison fields: 5 of 119
  • Cancer Research 1.2k
  • Oncology 1.0k
  • Neurology 311
  • Neurology 397
  • Genetics 226
Replace Martin Enge with:
Martin Enge Sweden
Ulrike J. Naumann Germany
Galit Rotman Israel
Masayuki Komada Japan
Renée M. McKay United States
Ki Wha Chung South Korea
Ascia Eskin United States
Geoffrey G. Hicks Canada
Steven A. Reeves United States
Seungyeul Yoo United States
Mark Ebbert relative to Martin Enge Sweden Martin Enge's profile →
Citations per field
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Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Tumor grafts derived from women with breast cancer authentically reflect tumor pathology, growth, metastasis and disease outcomes
Hit paper breakdown →
2011822
2 2010623
3 2012263
4 2018232
5 2018183
6 2019127
7 2022123
8 2012121
9 2016113
10 2014107
11 201298
12 201794
13 201894
14 201379
15 201379
16 201263
17 201863
18 201760
19 200756
20 202251

About Mark Ebbert

Mark Ebbert is a scholar working on Cancer Research, Neurology, Neurology, Molecular Biology and Genetics, having authored 61 papers that have together received 4.0k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (7 papers), Alzheimer's disease research and treatments (7 papers), Bioinformatics and Genomic Networks (7 papers), Amyotrophic Lateral Sclerosis Research (6 papers), Genetic Associations and Epidemiology (6 papers), Neurogenetic and Muscular Disorders Research (4 papers), RNA Research and Splicing (4 papers) and Genomics and Phylogenetic Studies (3 papers). The work is most often cited by research in Cancer Research (1.2k citations), Oncology (1.0k citations), Neurology (311 citations), Neurology (397 citations) and Genetics (226 citations). Mark Ebbert has collaborated with scholars based in United States, Spain and United Kingdom. Frequent co-authors include Philip Seth Bernard, Inge J. Stijleman, Perry G. Ridge, Bryan E. Welm, Rachel E. Factor, Brett A. Milash, Robert Lor Randall, Saundra S. Buys, Leigh A. Neumayer and Yoko S. DeRose. Their work appears in journals such as BMC Genomics, BMC Bioinformatics, Molecular Neurodegeneration, Journal of Clinical Virology and Bioinformatics.

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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