Mark E. Schurdak

2.2k citations
50 papers · 1.9k · h-index 26

Impact in

    • Carcinogens and Genotoxicity Assessment
    • Cancer, Lipids, and Metabolism
  • Hepatology top 10%
    • Hepatitis C virus research

Papers in

Mark E. Schurdak

49 papers receiving 1.8k citations

Peers

Mark E. Schurdak
Comparison fields: 5 of 103
  • Cancer Research 455
  • Hepatology 77
  • Molecular Biology 547
  • Computational Theory and Mathematics 124
  • Biophysics 47
Replace Michelle A. J. Palmer with:
Michelle A. J. Palmer United States
Yuhong Du United States
Hui Feng United States
Ulrika Warpman Berglund Sweden
Tetsuo Mashima Japan
Guangrong Qin China
José M. Silva Spain
Presha Rajbhandari United States
Mirra Chung United States
Rui Hao China
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Citations per field
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Michelle A. J. Palmer · 1×
Citations per year

Countries citing papers authored by Mark E. Schurdak

Since Specialization
Citations

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

Fields of papers citing papers by Mark E. Schurdak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1985130
2 2014128
3 2007117
4 2007114
5 201499
6 201989
7 199185
8 200767
9 201764
10 200658
11 201157
12 200752
13 200851
14 200546
15 201446
16 201641
17 198838
18 202036
19 202033
20
Effects of route of administration on tissue distribution of DNA adducts in mice: comparison of 7H-dibenzo(c,g)carbazole, benzo(a)pyrene, and 2-acetylaminofluorene.
198932

About Mark E. Schurdak

Mark E. Schurdak is a scholar working on Cancer Research, Computational Theory and Mathematics, Biophysics, Molecular Biology and Pharmacology, having authored 50 papers that have together received 1.9k indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (10 papers), Computational Drug Discovery Methods (8 papers), 3D Printing in Biomedical Research (5 papers), Cell Image Analysis Techniques (4 papers), Drug-Induced Hepatotoxicity and Protection (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Chemical Synthesis and Analysis (3 papers) and Genetic Neurodegenerative Diseases (2 papers). The work is most often cited by research in Cancer Research (455 citations), Hepatology (77 citations), Molecular Biology (547 citations), Computational Theory and Mathematics (124 citations) and Biophysics (47 citations). Mark E. Schurdak has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Kurt Randerath, D. Lansing Taylor, Lawrence A. Vernetti, Erika Randerath, Andrew M. Stern, Stephen W. Fesik, Susan E. Morgan-Lappe, Albert Gough, Kenneth M. Comess and Ramesh Chand Gupta. Their work appears in journals such as SLAS DISCOVERY, Carcinogenesis, Scientific Reports, Oncogene and Antiviral 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.

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