Mark Patterson

68 papers receiving 2.0k citations

Peers

Mark Patterson
Comparison fields: 5 of 136
  • Virology 267
  • Medical Laboratory Technology 57
  • Genetics 571
  • Immunology 394
  • Molecular Biology 1.2k
Replace Tadashi Kajii with:
Tadashi Kajii Japan
Yoshihide Ueda Japan
Elizabeth Wilson United States
Felicidad A. Gonzales United States
Sanna Myöhänen Finland
Hozefa S. Bandukwala United States
Jens Vilstrup Johansen Denmark
Fujiko Watt Australia
Cheryl Paul Australia
Ru Cao United States
Mark Patterson relative to Tadashi Kajii Japan Tadashi Kajii's profile →
Citations per field
00.5×7.0×
Tadashi Kajii · 1×
Citations per year

Countries citing papers authored by Mark Patterson

Since Specialization
Citations

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

Fields of papers citing papers by Mark Patterson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000232
2 1987146
3 1992113
4 1986110
5 2000101
6 200594
7 198794
8 200090
9 199666
10 198865
11 198955
12 199755
13 198752
14 198951
15 199749
16 198749
17 200746
18 199341
19 199339
20 199338

About Mark Patterson

Mark Patterson is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Medical Laboratory Technology, Virology and Urology, having authored 70 papers that have together received 2.1k indexed citations. Recurring topics across this work include Sexual Differentiation and Disorders (14 papers), Hormonal and reproductive studies (10 papers), Genetics and Neurodevelopmental Disorders (10 papers), DNA Repair Mechanisms (7 papers), Fungal and yeast genetics research (5 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (5 papers), Genetic Neurodegenerative Diseases (5 papers) and Cancer-related gene regulation (4 papers). The work is most often cited by research in Virology (267 citations), Medical Laboratory Technology (57 citations), Genetics (571 citations), Immunology (394 citations) and Molecular Biology (1.2k citations). Mark Patterson has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Ieuan A. Hughes, Judy Lieberman, Premlata Shankar, Robert A. Sclafani, Walton L. Fangman, John Rosamond, Paul R. Skolnik, Melissa L. Russo, Susan Kenwrick and Helen Davies. Their work appears in journals such as Nature Reviews Genetics, Molecular and Cellular Biology, Genomics, Archives of Disease in Childhood and Journal of Medical 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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