Mark A. Mortin

2.4k citations
33 papers · 2.1k indexed · 1 hit paper · h-index 18

Mark A. Mortin

33 papers receiving 2.0k citations

Hit Papers

Armadillo Coactivates Transcription Driven by the Product...1.0k19972026200620162505007501000

Peers

Mark A. Mortin
Comparison fields: 5 of 84
  • Aging 128
  • Molecular Biology 1.9k
  • Cell Biology 272
  • Cellular and Molecular Neuroscience 202
  • Genetics 262
Replace W J Gehring with:
W J Gehring Switzerland
Alexander Mazo United States
Martine Simonelig France
Todd Nystul United States
Tim Mohun United Kingdom
Yasuyoshi Nishida Japan
Allen Laughon United States
Helen Doyle United States
Gary R. Hime Australia
Scott Baskerville United States
Mark A. Mortin relative to W J Gehring Switzerland W J Gehring's profile →
Citations per field
00.5×
W J Gehring · 1×
Citations per year

Countries citing papers authored by Mark A. Mortin

Since Specialization
Citations

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

Fields of papers citing papers by Mark A. Mortin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201214
2 200615
3 200523
4 200316
5 200314
6 200020
7 19984
8 19985
9
Armadillo Coactivates Transcription Driven by the Product of the Drosophila Segment Polarity Gene dTCFbreakdown →
19971046
10 1997246
11 19963
12 19955
13 199419
14 19939
15 199244
16 198864
17 198817
18 198512
19 198425
20 198158

About Mark A. Mortin

Mark A. Mortin is a scholar working on Aging, Molecular Biology and Cell Biology, having authored 33 papers that have together received 2.1k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (12 papers), Genomics and Chromatin Dynamics (9 papers), RNA Research and Splicing (8 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (6 papers), Invertebrate Immune Response Mechanisms (4 papers), Insect Resistance and Genetics (4 papers), Insect and Pesticide Research (3 papers) and Cellular Mechanics and Interactions (3 papers). The work is most often cited by research in Aging (128 citations), Molecular Biology (1.9k citations) and Cell Biology (272 citations). Mark A. Mortin has collaborated with scholars based in United States, Malaysia and Netherlands. Frequent co-authors include Tamara L. Jones, Deborah A. Hursh, Hans Clevers, Moniek van Beest, Paul Jedlicka, Carl Wu, Marc van de Wetering, Dennis Dooijes, Joseph Loureiro and Amy Bejsovec. Their work appears in journals such as Molecular and Cellular Biology, Genetics, Developmental Biology, Cell and Biochemical Genetics.

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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