Daniel K. Muller

656 total citations
9 papers, 577 citations indexed

About

Daniel K. Muller is a scholar working on Molecular Biology, Genetics and Epidemiology. According to data from OpenAlex, Daniel K. Muller has authored 9 papers receiving a total of 577 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Genetics and 2 papers in Epidemiology. Recurrent topics in Daniel K. Muller's work include DNA and Nucleic Acid Chemistry (3 papers), Bacterial Genetics and Biotechnology (3 papers) and Blood Coagulation and Thrombosis Mechanisms (2 papers). Daniel K. Muller is often cited by papers focused on DNA and Nucleic Acid Chemistry (3 papers), Bacterial Genetics and Biotechnology (3 papers) and Blood Coagulation and Thrombosis Mechanisms (2 papers). Daniel K. Muller collaborates with scholars based in United States and Germany. Daniel K. Muller's co-authors include Joseph E. Coleman, Craig T. Martin, Katherine Delaria, Paul P. Tamburini, Christopher W. Marlor, James E. Brown, Steven Roczniak, Gary L. Davis, Jeffrey M. Greve and John J. Dunn and has published in prestigious journals such as Journal of Biological Chemistry, Biochemistry and Calcified Tissue International.

In The Last Decade

Daniel K. Muller

9 papers receiving 564 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Daniel K. Muller United States	7	461	228	155	58	35	9	577
Jennifer Vogt United States	10	175 0.4×	108 0.5×	41 0.3×	98 1.7×	60 1.7×	13	571
A Gil United States	5	861 1.9×	126 0.6×	27 0.2×	29 0.5×	40 1.1×	6	1.0k
Mark C. Leavitt United States	16	583 1.3×	193 0.8×	127 0.8×	62 1.1×	63 1.8×	28	812
Junko Kimura Japan	15	414 0.9×	126 0.6×	50 0.3×	27 0.5×	106 3.0×	23	643
Mary K. Short United States	13	330 0.7×	119 0.5×	21 0.1×	60 1.0×	70 2.0×	24	709
Stuart Le Grice United States	9	755 1.6×	106 0.5×	56 0.4×	12 0.2×	36 1.0×	11	941
Anna E. Jeffreys United Kingdom	7	466 1.0×	144 0.6×	56 0.4×	8 0.1×	63 1.8×	11	774
A. Darveau Canada	12	812 1.8×	95 0.4×	26 0.2×	12 0.2×	43 1.2×	14	1.0k
Lisa Manche United States	9	1.3k 2.7×	130 0.6×	37 0.2×	27 0.5×	32 0.9×	9	1.4k
T. Faure France	8	209 0.5×	148 0.6×	23 0.1×	16 0.3×	36 1.0×	13	339

Countries citing papers authored by Daniel K. Muller

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Daniel K. Muller

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel K. Muller. A scholar is included among the top collaborators of Daniel K. Muller based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel K. Muller. Daniel K. Muller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

1.

Ghebremedhin, Beniam, Andreas Heusch, Daniel K. Muller, et al.. (2021). Combined RT-qPCR and pyrosequencing of a Spike glycoprotein polybasic cleavage motif can uncover pediatric SARS-CoV-2 infections associated with heterogeneous presentation. PubMed. 8(1). 4–4. 1 indexed citations

2.

Fu, Jianmin & Daniel K. Muller. (1999). Simple, Rapid Enzyme-Linked Immunosorbent Assay (ELISA) for the Determination of Rat Osteocalcin. Calcified Tissue International. 64(3). 229–233. 8 indexed citations

3.

Marlor, Christopher W., Katherine Delaria, Gary L. Davis, et al.. (1997). Identification and Cloning of Human Placental Bikunin, a Novel Serine Protease Inhibitor Containing Two Kunitz Domains. Journal of Biological Chemistry. 272(18). 12202–12208. 75 indexed citations

4.

Delaria, Katherine, Daniel K. Muller, Christopher W. Marlor, et al.. (1997). Characterization of Placental Bikunin, a Novel Human Serine Protease Inhibitor. Journal of Biological Chemistry. 272(18). 12209–12214. 92 indexed citations

5.

Robinson, T. L. & Daniel K. Muller. (1997). Purification and Characterization of Cynomolgus Monkey Tryptase. Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology. 118(4). 783–792. 2 indexed citations

6.

Mookhtiar, Kasim A., et al.. (1991). Processivity of T7 RNA polymerase requires the C-terminal Phe882-Ala883-COO- or "foot". Biochemistry. 30(25). 6305–6313. 38 indexed citations

7.

Muller, Daniel K., Craig T. Martin, & Joseph E. Coleman. (1989). T7 RNA polymerase interacts with its promoter from one side of the DNA helix. Biochemistry. 28(8). 3306–3313. 42 indexed citations

8.

Martin, Craig T., Daniel K. Muller, & Joseph E. Coleman. (1988). Processivity in early stages of transcription by T7 RNA polymerase. Biochemistry. 27(11). 3966–3974. 230 indexed citations

9.

Muller, Daniel K., Craig T. Martin, & Joseph E. Coleman. (1988). Processivity of proteolytically modified forms of T7 RNA polymerase. Biochemistry. 27(15). 5763–5771. 89 indexed citations

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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