Michael Stern

118 papers receiving 9.4k citations

Michael Stern's Hit Papers

Digital inequalities and why they matter 2015 · 683 citations
6830+15+31Years since publication10002.0k3.0k

Peers

Michael Stern
Comparison fields: 5 of 205
  • Aging 1.4k
  • Endocrine and Autonomic Systems 579
  • Cell Biology 1.4k
  • Molecular Biology 5.5k
  • Cellular and Molecular Neuroscience 1.3k
Replace John E. Wilkinson with:
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Citations per field
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Citations per year

Countries citing papers authored by Michael Stern

Since Specialization
Citations

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

Fields of papers citing papers by Michael Stern

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 119 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Efficient transfer of large DNA fragments from agarose gels to diazobenzyloxymethyl-paper and rapid hybridization by using dextran sulfate.
Hit paper breakdown →
19793174
2
Digital inequalities and why they matter
Hit paper breakdown →
2015683
3
C. elegans cell-signalling gene sem-5 encodes a protein with SH2 and SH3 domains
Hit paper breakdown →
1992550
4 1984461
5 1993385
6 1984374
7 1994232
8 2005201
9 1998174
10 1999159
11 1995155
12 1994151
13 1994148
14 1990124
15 2009118
16 1997112
17 2014104
18 2014102
19 199897
20 199894

About Michael Stern

Michael Stern is a scholar working on Molecular Biology, Aging, Cellular and Molecular Neuroscience, Sociology and Political Science and Cell Biology, having authored 119 papers that have together received 10.2k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (35 papers), Neurobiology and Insect Physiology Research (20 papers), Circadian rhythm and melatonin (18 papers), Social Media and Politics (16 papers), Cellular transport and secretion (13 papers), Survey Methodology and Nonresponse (13 papers), Focus Groups and Qualitative Methods (10 papers) and Social Capital and Networks (8 papers). The work is most often cited by research in Aging (1.4k citations), Endocrine and Autonomic Systems (579 citations), Cell Biology (1.4k citations), Molecular Biology (5.5k citations) and Cellular and Molecular Neuroscience (1.3k citations). Michael Stern has collaborated with scholars based in United States, Israel and Canada. Frequent co-authors include Geoffrey M. Wahl, George R. Stark, Scott G. Clark, Hugo J. Bellen, J. Troy Littleton, Catherine Branda, Robert E. Jensen, Ira Herskowitz, H. Robert Horvitz and Magdalena Walkiewicz. Their work appears in journals such as Genetics, Proceedings of the National Academy of Sciences, Development, Developmental Biology 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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