David Mah

455 citations
20 papers · 388 · h-index 11

Impact in

Papers in

David Mah

20 papers receiving 383 citations

Peers

David Mah
Comparison fields: 5 of 55
  • Infectious Diseases 181
  • Genetics 154
  • Endocrinology 18
  • Biotechnology 28
  • Animal Science and Zoology 27
Replace Silke Schepelmann with:
Silke Schepelmann United Kingdom
Ruzhong Jin United States
Angela K. Berger United States
William C. Uicker United States
Greame A. R. Wilson Canada
Fred Golini United States
Bie Yun Tsai Taiwan
M. D. Sargent Canada
Xinlin Lei China
Irina N. Babkina Russia
David Mah relative to Silke Schepelmann United Kingdom Silke Schepelmann's profile →
Citations per field
00.5×1.5×1.8×
Silke Schepelmann · 1×
Citations per year

Countries citing papers authored by David Mah

Since Specialization
Citations

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

Fields of papers citing papers by David Mah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 199484
2 198452
3 199037
4 199134
5 198634
6 199132
7 199322
8 200218
9 200615
10 200313
11 199913
12 19978
13 20067
14 20077
15 20044
16 19923
17 20092
18
Bridging the Safety Gap from Scripts to Full Auto-Remediation
20161
19
Architecting and Launching the Halo 4 Services
20151
20
DeadDrop/StrongBox security assessment
20131

About David Mah

David Mah is a scholar working on Molecular Biology, Infectious Diseases, Genetics, Ecology and Radiology, Nuclear Medicine and Imaging, having authored 20 papers that have together received 388 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (5 papers), Virus-based gene therapy research (4 papers), Bacteriophages and microbial interactions (3 papers), Microfluidic and Capillary Electrophoresis Applications (3 papers), DNA Repair Mechanisms (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Botulinum Toxin and Related Neurological Disorders (2 papers) and Transgenic Plants and Applications (2 papers). The work is most often cited by research in Infectious Diseases (181 citations), Genetics (154 citations), Endocrinology (18 citations), Biotechnology (28 citations) and Animal Science and Zoology (27 citations). David Mah has collaborated with scholars based in Canada and United States. Frequent co-authors include Patrick W.K. Lee, Donald E. Woods, Paul J. Brett, Saad A. Masri, Les P. Nagata, Gustavo Leone, Giuseppe Leone, L W Cashdollar, Angela Price and Maria Zannis‐Hadjopoulos. Their work appears in journals such as Virology, Electrophoresis, Journal of Cellular Biochemistry, Infection and Immunity and Molecular Immunology.

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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