Daniel K. Muller
Impact in
- Genetics top 10%
- Bacterial Genetics and Biotechnology
- Hepatology top 10%
- Liver physiology and pathology
Papers in
-
- DNA and Nucleic Acid Chemistry 3
- RNA and protein synthesis mechanisms 2
- Biochemical and Structural Characterization 1
- Genetics 4
- Bacterial Genetics and Biotechnology 3
- Co-authors
- Joseph E. Coleman (4 shared papers)Craig T. Martin (3 shared papers)Katherine Delaria (2 shared papers)Christopher W. Marlor (2 shared papers)Paul P. Tamburini (2 shared papers)Gary L. Davis (1 shared paper)Steven Roczniak (1 shared paper)Jeffrey M. Greve (1 shared paper)
- Journals
- Biochemistry (4 papers)Journal of Biological Chemistry (2 papers)Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology (1 paper)Calcified Tissue International (1 paper)PubMed (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Daniel K. Muller
9 papers receiving 564 citations
Peers
Comparison fields: 5 of 64
- Genetics 228
- Hepatology 58
- Molecular Biology 461
- Ecology 155
- Hematology 26
Countries citing papers authored by Daniel K. Muller
This map shows the geographic impact of Daniel K. Muller'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 Daniel K. Muller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel K. Muller more than expected).
Fields of papers citing papers by Daniel K. Muller
This network shows the impact of papers produced by Daniel K. Muller. 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 Daniel K. Muller. The network helps show where Daniel K. Muller may publish in the future.
Co-authors
The 19 scholars most cited alongside Daniel K. Muller, 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 | 1988 | 230 | |
| 2 | 1997 | 92 | |
| 3 | 1988 | 89 | |
| 4 | 1997 | 75 | |
| 5 | 1989 | 42 | |
| 6 | 1991 | 38 | |
| 7 | 1999 | 8 | |
| 8 | 1997 | 2 | |
| 9 | 2021 | 1 |
About Daniel K. Muller
Daniel K. Muller is a scholar working on Molecular Biology, Genetics, Epidemiology, Hematology and Infectious Diseases, having authored 9 papers that have together received 577 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (3 papers), DNA and Nucleic Acid Chemistry (3 papers), RNA and protein synthesis mechanisms (2 papers), Blood Coagulation and Thrombosis Mechanisms (2 papers), Hemophilia Treatment and Research (1 paper), Mast cells and histamine (1 paper), Bone health and osteoporosis research (1 paper) and Biochemical and Structural Characterization (1 paper). The work is most often cited by research in Genetics (228 citations), Hepatology (58 citations), Molecular Biology (461 citations), Ecology (155 citations) and Hematology (26 citations). Daniel K. Muller has collaborated with scholars based in United States and Germany. Frequent co-authors include Joseph E. Coleman, Craig T. Martin, Katherine Delaria, Christopher W. Marlor, Paul P. Tamburini, Gary L. Davis, Steven Roczniak, Jeffrey M. Greve, James E. Brown and Kasim A. Mookhtiar. Their work appears in journals such as Biochemistry, Journal of Biological Chemistry, Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology, Calcified Tissue International and PubMed.
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.