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
- Genetics 4
- Bacterial Genetics and Biotechnology 3
- Coagulation, Bradykinin, Polyphosphates, and Angioedema 1
- Co-authors
- Joseph E. Coleman (4 shared papers)Craig T. Martin (3 shared papers)Christopher W. Marlor (2 shared papers)Paul P. Tamburini (2 shared papers)Katherine Delaria (2 shared papers)Jeffrey M. Greve (1 shared paper)Steven Roczniak (1 shared paper)James E. Brown (1 shared paper)
- Journals
- Biochemistry (4 papers)Journal of Biological Chemistry (2 papers)Molecular and Cellular Pediatrics (1 paper)Calcified Tissue International (1 paper)Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Daniel K. Muller
9 papers receiving 573 citations
Peers
Comparison fields: 5 of 63
- Genetics 225
- Hepatology 55
- Molecular Biology 449
- Ecology 154
- Hematology 24
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 | 234 | |
| 2 | 1997 | 92 | |
| 3 | 1988 | 89 | |
| 4 | 1997 | 75 | |
| 5 | 1989 | 42 | |
| 6 | 1991 | 39 | |
| 7 | 1999 | 8 | |
| 8 | 1997 | 2 | |
| 9 | 2021 | 1 |
About Daniel K. Muller
Daniel K. Muller is a scholar working on Molecular Biology, Genetics, Hematology, Genetics and Pathology and Forensic Medicine, having authored 9 papers that have together received 582 indexed citations. Recurring topics across this work include DNA and Nucleic Acid Chemistry (3 papers), Bacterial Genetics and Biotechnology (3 papers), Blood Coagulation and Thrombosis Mechanisms (2 papers), RNA and protein synthesis mechanisms (2 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper), Hemophilia Treatment and Research (1 paper), Trypanosoma species research and implications (1 paper) and Mast cells and histamine (1 paper). The work is most often cited by research in Genetics (225 citations), Hepatology (55 citations), Molecular Biology (449 citations), Ecology (154 citations) and Hematology (24 citations). Daniel K. Muller has collaborated with scholars based in United States and Germany. Frequent co-authors include Joseph E. Coleman, Craig T. Martin, Christopher W. Marlor, Paul P. Tamburini, Katherine Delaria, Jeffrey M. Greve, Steven Roczniak, James E. Brown, Gary L. Davis and Kasim A. Mookhtiar. Their work appears in journals such as Biochemistry, Journal of Biological Chemistry, Molecular and Cellular Pediatrics, Calcified Tissue International and Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology.
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.