Mark L. Day

117 papers receiving 7.3k citations

Peers

Mark L. Day
Comparison fields: 5 of 142
  • Behavioral Neuroscience 401
  • Cellular and Molecular Neuroscience 1.5k
  • Developmental Neuroscience 228
  • Biological Psychiatry 124
  • Oncology 1.3k
Replace Nigel Whittle with:
Nigel Whittle Austria
Paul C. Orban Canada
Keiko Mizuno Japan
Mark G. Erlander United States
Hisatake Kondo Japan
Susan M. Dymecki United States
Linda S. Hu United States
Carrolee Barlow United States
Bo Xiao China
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Mark L. Day relative to Nigel Whittle Austria Nigel Whittle's profile →
Citations per field
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Citations per year

Countries citing papers authored by Mark L. Day

Since Specialization
Citations

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

Fields of papers citing papers by Mark L. Day

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 121 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Overexpression of bcl-2 protects prostate cancer cells from apoptosis in vitro and confers resistance to androgen depletion in vivo.
1995479
2 2008428
3 2003406
4
Hepatocyte growth factor and its receptor (c-MET) in prostatic carcinoma.
1995297
5 2008220
6 2003209
7 2013205
8 2008169
9 2008164
10 2008158
11 2016157
12 2001157
13 2003155
14 2007151
15 1987140
16 2005140
17 1999136
18 1987120
19 2006118
20 2007106

About Mark L. Day

Mark L. Day is a scholar working on Cellular and Molecular Neuroscience, Oncology, Molecular Biology, Cognitive Neuroscience and Behavioral Neuroscience, having authored 121 papers that have together received 7.5k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (19 papers), Bladder and Urothelial Cancer Treatments (11 papers), HER2/EGFR in Cancer Research (10 papers), Prostate Cancer Treatment and Research (10 papers), Cancer-related gene regulation (9 papers), Wnt/β-catenin signaling in development and cancer (9 papers), Memory and Neural Mechanisms (9 papers) and Cancer-related Molecular Pathways (8 papers). The work is most often cited by research in Behavioral Neuroscience (401 citations), Cellular and Molecular Neuroscience (1.5k citations), Developmental Neuroscience (228 citations), Biological Psychiatry (124 citations) and Oncology (1.3k citations). Mark L. Day has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Kathleen C. Day, Richard Morris, Michael T. McCabe, Mark Andrew Rubin, Abdo J. Najy, Rainer Kuefer, Ralph O'Toole Buttyan, Anthony J. Raffo, Min‐Wei Chen and Harris Perlman. Their work appears in journals such as Journal of Biological Chemistry, Cancer Research, Journal of Pharmacology and Experimental Therapeutics, Oncogene and PLoS ONE.

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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