Mark D. Allen

7.7k citations
100 papers · 5.1k indexed · 1 hit paper · h-index 38

Mark D. Allen

96 papers receiving 5.0k citations

Hit Papers

Characterization and engineering of a two-enzyme system f...3652020202620222024100200300

Peers

Mark D. Allen
Comparison fields: 5 of 160
  • Physiology 186
  • Molecular Biology 2.8k
  • Biochemistry 237
  • Pollution 336
  • Cognitive Neuroscience 514
Replace Makoto Hayashi with:
Makoto Hayashi Japan
Robert M. Horton United States
Jing Wang China
Alan P. Wolffe United States
Keiko Kashiwagi Japan
James A. Wohlschlegel United States
Robert E. Campbell Canada
Blake R. Peterson United States
Howard Cedar Israel
Thomas Günther Pomorski Germany
Mark D. Allen relative to Makoto Hayashi Japan Makoto Hayashi's profile →
Citations per field
00.5×6.5×
Makoto Hayashi · 1×
Citations per year

Countries citing papers authored by Mark D. Allen

Since Specialization
Citations

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

Fields of papers citing papers by Mark D. Allen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 202340
3 202133
4
Characterization and engineering of a two-enzyme system for plastics depolymerizationbreakdown →
2020365
5
Neurovascular Coupling: A Unifying Theory for Post-Concussion Syndrome Treatment and Functional Neuroimaging
20200
6 20209
7 201822
8 2018164
9 201696
10 20161
11 2015162
12 20130
13 20111
14 200829
15 20050
16 200543
17 200336
18 200284
19 200111
20 199725

About Mark D. Allen

Mark D. Allen is a scholar working on Cognitive Neuroscience, Biochemistry, Molecular Biology, Clinical Biochemistry and Developmental and Educational Psychology, having authored 100 papers that have together received 5.1k indexed citations. Recurring topics across this work include Enzyme Structure and Function (13 papers), Neurobiology of Language and Bilingualism (13 papers), Protein Structure and Dynamics (11 papers), Traumatic Brain Injury Research (11 papers), Reading and Literacy Development (9 papers), RNA modifications and cancer (9 papers), RNA and protein synthesis mechanisms (8 papers) and Functional Brain Connectivity Studies (8 papers). The work is most often cited by research in Physiology (186 citations), Molecular Biology (2.8k citations), Biochemistry (237 citations), Pollution (336 citations) and Cognitive Neuroscience (514 citations). Mark D. Allen has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include Mark Bycroft, William Badecker, Masaru Tateno, Kazuhiko Yamasaki, Masashi Suzuki, Stefan M.V. Freund, Masaru Ohme‐Takagi, Jan Löwe, Richard N. Perham and Lee Osterhout. Their work appears in journals such as Journal of Molecular Biology, Journal of Biological Chemistry, Protein Science, The EMBO Journal and Proceedings of the National Academy of Sciences.

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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