Mark Mason

2.1k citations
19 papers · 1.7k · 1 hit paper · h-index 13

Impact in

Papers in

    • DNA Repair Mechanisms 4
    • Genomics and Chromatin Dynamics 3
    • CRISPR and Genetic Engineering 2
    • Cancer-related gene regulation 2
    • Adipose Tissue and Metabolism 6
    • Telomeres, Telomerase, and Senescence 5

Mark Mason

19 papers receiving 1.7k citations

Hit Papers

Life without white fat: a transgenic mouse 1998 · 627 citations
6270+9+18Years since publication200400600

Peers

Mark Mason
Comparison fields: 5 of 93
  • Endocrine and Autonomic Systems 394
  • Physiology 957
  • Biochemistry 128
  • Aging 29
  • Epidemiology 537
Replace Matthew R. Gangl with:
Matthew R. Gangl United States
René Pecquery France
Clara Paolucci Italy
Eijiro Watanabe Japan
Feng Chu United States
Nicole H. Rogers United States
Shengyi Sun United States
Ji Woo Park South Korea
Yugo Miyata Japan
Winston Chu United States
Mark Mason relative to Matthew R. Gangl United States Matthew R. Gangl's profile →
Citations per field
00.5×1.5×1.8×
Matthew R. Gangl · 1×
Citations per year

Countries citing papers authored by Mark Mason

Since Specialization
Citations

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

Fields of papers citing papers by Mark Mason

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1
Life without white fat: a transgenic mouse
Hit paper breakdown →
1998627
2 2000317
3 1999177
4 1997149
5 1998126
6 199962
7 201059
8 199537
9 201332
10 201031
11 201228
12 202117
13 197912
14 20108
15 19966
16 19874
17 20172
18
Leptin and reproduction
19992
19 20221

About Mark Mason

Mark Mason is a scholar working on Molecular Biology, Physiology, Endocrine and Autonomic Systems, Epidemiology and Oncology, having authored 19 papers that have together received 1.7k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (6 papers), Telomeres, Telomerase, and Senescence (5 papers), DNA Repair Mechanisms (4 papers), Regulation of Appetite and Obesity (4 papers), Genomics and Chromatin Dynamics (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), CRISPR and Genetic Engineering (2 papers) and Cancer-related gene regulation (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (394 citations), Physiology (957 citations), Biochemistry (128 citations), Aging (29 citations) and Epidemiology (537 citations). Mark Mason has collaborated with scholars based in United States, Cameroon and Poland. Frequent co-authors include Marc L. Reitman, Oksana Gavrilova, Bernice Marcus‐Samuels, Charles Vinson, Jaideep Moitra, Eric Lee, Michael Eckhaus, Dmitry Krylov, Lionel Feigenbaum and Michelle Olive. Their work appears in journals such as Structure, Journal of Biological Chemistry, Molecular and Cellular Biology, Journal of Bacteriology and Endocrinology.

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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