D Ma
Impact in
- Molecular Medicine top 0.5%
- Antibiotic Resistance in Bacteria
- Endocrinology top 2%
- Escherichia coli research studies
Papers in
-
- DNA Repair Mechanisms 3
- Cancer therapeutics and mechanisms 3
- Receptor Mechanisms and Signaling 3
- Phosphodiesterase function and regulation 2
- Photosynthetic Processes and Mechanisms 2
-
- Antibiotic Resistance in Bacteria 3
- Co-authors
- Hiroshi Nikaido (3 shared papers)John E. Hearst (6 shared papers)David N. Cook (6 shared papers)Ning G. Pon (3 shared papers)Marie Alberti (2 shared papers)David M. Livermore (1 shared paper)Xiujuan Li (1 shared paper)Ping Wu (2 shared papers)
- Journals
- Journal of Bacteriology (3 papers)Molecular Pharmacology (2 papers)Proceedings of the National Academy of Sciences (2 papers)Antimicrobial Agents and Chemotherapy (1 paper)International Immunopharmacology (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
D Ma
13 papers receiving 1.7k citations
D Ma's Hit Papers
Peers
Comparison fields: 5 of 97
- Molecular Medicine 863
- Endocrinology 210
- Pharmacology 305
- Genetics 432
- Applied Microbiology and Biotechnology 28
Countries citing papers authored by D Ma
This map shows the geographic impact of D Ma'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 D Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D Ma more than expected).
Fields of papers citing papers by D Ma
This network shows the impact of papers produced by D Ma. 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 D Ma. The network helps show where D Ma may publish in the future.
Co-authors
The 24 scholars most cited alongside D Ma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | AcrAB efflux pump plays a major role in the antibiotic resistance phenotype of Escherichia coli multiple-antibiotic-resistance (Mar) mutants Hit paper breakdown → | 1996 | 685 |
| 2 | 1993 | 408 | |
| 3 | 1994 | 245 | |
| 4 | 2002 | 153 | |
| 5 | 1992 | 63 | |
| 6 | 1999 | 60 | |
| 7 | 1993 | 52 | |
| 8 | 2007 | 43 | |
| 9 | 1993 | 29 | |
| 10 | 1994 | 22 | |
| 11 | 1994 | 4 | |
| 12 | 1999 | 4 | |
| 13 | 2025 | 2 |
About D Ma
D Ma is a scholar working on Molecular Biology, Molecular Medicine, Pharmacology, Cellular and Molecular Neuroscience and Ecology, having authored 13 papers that have together received 1.8k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (3 papers), Cancer therapeutics and mechanisms (3 papers), Receptor Mechanisms and Signaling (3 papers), Antibiotic Resistance in Bacteria (3 papers), Phosphodiesterase function and regulation (2 papers), Algal biology and biofuel production (2 papers), Cellular transport and secretion (2 papers) and Photosynthetic Processes and Mechanisms (2 papers). The work is most often cited by research in Molecular Medicine (863 citations), Endocrinology (210 citations), Pharmacology (305 citations), Genetics (432 citations) and Applied Microbiology and Biotechnology (28 citations). D Ma has collaborated with scholars based in United States and China. Frequent co-authors include Hiroshi Nikaido, John E. Hearst, David N. Cook, Ning G. Pon, Marie Alberti, David M. Livermore, Xiujuan Li, Ping Wu, David O’Brien and M. Motasim Billah. Their work appears in journals such as Journal of Bacteriology, Molecular Pharmacology, Proceedings of the National Academy of Sciences, Antimicrobial Agents and Chemotherapy and International Immunopharmacology.
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.