Mark Douglas

3.3k citations
31 papers · 1.9k · h-index 18

Impact in

Papers in

Mark Douglas

30 papers receiving 1.8k citations

Peers

Mark Douglas
Comparison fields: 5 of 97
  • Genetics 365
  • Pathology and Forensic Medicine 370
  • Geochemistry and Petrology 107
  • Fluid Flow and Transfer Processes 105
  • Mechanical Engineering 595
Replace Shinichi Takano with:
Shinichi Takano Japan
Ajay Bhatnagar United States
Shingo Hara Japan
Dong Joon Min South Korea
N.F. Kirkby United Kingdom
Songling Wang China
Yanping Xiao China
Keisuke Arai Japan
Dirk Schäfer Germany
James E. O’Brien United States
Mark Douglas relative to Shinichi Takano Japan Shinichi Takano's profile →
Citations per field
00.5×10×15×18.3×
Shinichi Takano · 1×
Citations per year

Countries citing papers authored by Mark Douglas

Since Specialization
Citations

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

Fields of papers citing papers by Mark Douglas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003438
2 2005329
3 2017204
4 2017183
5 200297
6 200380
7 200465
8 200759
9 201652
10 200449
11 201848
12 201438
13 201435
14 201228
15 201828
16 200726
17 201826
18 201417
19 201414
20 200914

About Mark Douglas

Mark Douglas is a scholar working on Genetics, Pathology and Forensic Medicine, Molecular Biology, Immunology and Computational Mechanics, having authored 31 papers that have together received 1.9k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (11 papers), Lymphoma Diagnosis and Treatment (9 papers), Combustion and flame dynamics (4 papers), Acute Lymphoblastic Leukemia research (3 papers), Mercury impact and mitigation studies (3 papers), Immunodeficiency and Autoimmune Disorders (3 papers), Advanced Breast Cancer Therapies (3 papers) and Fire dynamics and safety research (3 papers). The work is most often cited by research in Genetics (365 citations), Pathology and Forensic Medicine (370 citations), Geochemistry and Petrology (107 citations), Fluid Flow and Transfer Processes (105 citations) and Mechanical Engineering (595 citations). Mark Douglas has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Eric Croiset, Yewen Tan, K V Thambimuthu, Peter Douglas, Diksha Singh, E. H. Chui, Kerstin Allen, Jennifer Sweeney, Patrick Kelly and Steven M. Horwitz. Their work appears in journals such as Fuel, Blood, Cancer Research, Journal of Clinical Oncology and American Journal of Hematology.

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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