D Ma
- Molecular Medicine top 0.5%
- Antibiotic Resistance in Bacteria 3
- Endocrinology top 2%
- Pharmacology top 5%
- Antibiotics Pharmacokinetics and Efficacy 2
- Genetics top 5%
- Bacterial Genetics and Biotechnology 2
- Pollution top 5%
-
- Receptor Mechanisms and Signaling 3
- Cancer therapeutics and mechanisms 2
- DNA Repair Mechanisms 2
- Photosynthetic Processes and Mechanisms 2
-
- Cellular transport and secretion 2
- Co-authors
- Hiroshi NikaidoJohn E. HearstDavid N. CookNing G. PonMarie AlbertiXiujuan LiDavid M. LivermoreRobert W. Egan
- Journals
- Journal of Bacteriology (3 papers)Molecular Pharmacology (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- United StatesChina
In The Last Decade
D Ma
12 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Molecular Medicine 854
- Endocrinology 212
- Pharmacology 293
- Genetics 428
- Pollution 171
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-authorship network
The 25 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 | 2025 | 1 | |
| 2 | 2007 | 35 | |
| 3 | 2002 | 149 | |
| 4 | 1999 | 57 | |
| 5 | 1999 | 4 | |
| 6 | AcrAB efflux pump plays a major role in the antibiotic resistance phenotype of Escherichia coli multiple-antibiotic-resistance (Mar) mutantsbreakdown → | 1996 | 652 |
| 7 | 1994 | 225 | |
| 8 | 1994 | 20 | |
| 9 | 1993 | 389 | |
| 10 | 1993 | 20 | |
| 11 | 1993 | 43 | |
| 12 | 1992 | 56 |
About D Ma
D Ma is a scholar working on Molecular Medicine, Biochemistry, Pharmaceutical Science, Molecular Biology and Renewable Energy, Sustainability and the Environment, having authored 12 papers that have together received 1.7k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (3 papers), Antibiotic Resistance in Bacteria (3 papers), Cancer therapeutics and mechanisms (2 papers), Bacterial Genetics and Biotechnology (2 papers), DNA Repair Mechanisms (2 papers), Antibiotics Pharmacokinetics and Efficacy (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 (854 citations), Endocrinology (212 citations), Pharmacology (293 citations), Genetics (428 citations) and Pollution (171 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, Xiujuan Li, David M. Livermore, Robert W. Egan, Ping Wu and M. Motasim Billah. Their work appears in journals such as Journal of Bacteriology, Molecular Pharmacology, Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Antimicrobial Agents and Chemotherapy.
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.