Daniel J. Frank

972 total citations
18 papers, 758 citations indexed

About

Daniel J. Frank is a scholar working on Molecular Biology, Pharmacology and Surgery. According to data from OpenAlex, Daniel J. Frank has authored 18 papers receiving a total of 758 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Pharmacology and 5 papers in Surgery. Recurrent topics in Daniel J. Frank's work include Pharmacogenetics and Drug Metabolism (9 papers), Mechanical Circulatory Support Devices (4 papers) and Steroid Chemistry and Biochemistry (4 papers). Daniel J. Frank is often cited by papers focused on Pharmacogenetics and Drug Metabolism (9 papers), Mechanical Circulatory Support Devices (4 papers) and Steroid Chemistry and Biochemistry (4 papers). Daniel J. Frank collaborates with scholars based in United States, Australia and Denmark. Daniel J. Frank's co-authors include Stephen G. Sligar, Ilia G. Denisov, David Walterhouse, Joon Won Yoon, Philip M. Iannaccone, Rebecca R. Majewski, Marcelo A. Nóbrega, Howard J. Jacob, Yasuhiro Kita and Paul R. Ortiz de Montellano and has published in prestigious journals such as Journal of Biological Chemistry, Biochemistry and The Journal of Infectious Diseases.

In The Last Decade

Daniel J. Frank

17 papers receiving 746 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel J. Frank United States 15 461 247 131 87 80 18 758
Dennis Schade Germany 17 568 1.2× 24 0.1× 119 0.9× 45 0.5× 86 1.1× 49 973
Yoshiyuki Yabe Japan 11 270 0.6× 100 0.4× 184 1.4× 41 0.5× 104 1.3× 18 638
Chen Gao China 13 348 0.8× 72 0.3× 206 1.6× 14 0.2× 53 0.7× 34 732
Saiqi Wang China 19 582 1.3× 31 0.1× 338 2.6× 21 0.2× 79 1.0× 56 1.3k
Dongmei Zhao China 17 255 0.6× 14 0.1× 97 0.7× 48 0.6× 57 0.7× 46 705
Janet S. Macpherson United Kingdom 16 385 0.8× 77 0.3× 333 2.5× 15 0.2× 98 1.2× 30 861
Hiroshi Kuga Japan 14 840 1.8× 56 0.2× 676 5.2× 69 0.8× 63 0.8× 28 1.3k
Bing Lu China 16 382 0.8× 35 0.1× 201 1.5× 81 0.9× 30 0.4× 34 771

Countries citing papers authored by Daniel J. Frank

Since Specialization
Citations

This map shows the geographic impact of Daniel J. Frank'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 J. Frank with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel J. Frank more than expected).

Fields of papers citing papers by Daniel J. Frank

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. Frank. 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 J. Frank. The network helps show where Daniel J. Frank may publish in the future.

Co-authorship network of co-authors of Daniel J. Frank

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Frank. A scholar is included among the top collaborators of Daniel J. Frank 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 J. Frank. Daniel J. Frank is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Izzo, Angelo, Shannon M. Miller, Daniel J. Frank, et al.. (2021). Advancing Adjuvants for Mycobacterium tuberculosis Therapeutics. Frontiers in Immunology. 12. 740117–740117. 17 indexed citations
2.
Frank, Daniel J., David Horné, Noton K. Dutta, et al.. (2018). Remembering the Host in Tuberculosis Drug Development. The Journal of Infectious Diseases. 219(10). 1518–1524. 30 indexed citations
3.
Frank, Daniel J., et al.. (2016). Cholesterol Analogs with Degradation-resistant Alkyl Side Chains Are Effective Mycobacterium tuberculosis Growth Inhibitors. Journal of Biological Chemistry. 291(14). 7325–7333. 16 indexed citations
4.
Conner, Kip P., Matthew D. Krzyaniak, Alina M. Schimpf, et al.. (2015). Drug Modulation of Water–Heme Interactions in Low-Spin P450 Complexes of CYP2C9d and CYP125A1. Biochemistry. 54(5). 1198–1207. 19 indexed citations
5.
Frank, Daniel J., et al.. (2015). Cytochrome P450 125A4, the Third Cholesterol C-26 Hydroxylase from Mycobacterium smegmatis. Biochemistry. 54(46). 6909–6916. 18 indexed citations
6.
Conner, Kip P., Alina M. Schimpf, Kirsty J. McLean, et al.. (2014). Strength of Axial Water Ligation in Substrate-Free Cytochrome P450s Is Isoform Dependent. Biochemistry. 53(9). 1428–1434. 20 indexed citations
7.
Frank, Daniel J., et al.. (2014). Cholesterol Ester Oxidation by Mycobacterial Cytochrome P450. Journal of Biological Chemistry. 289(44). 30417–30425. 29 indexed citations
8.
García‐Fernández, Esther, Daniel J. Frank, Beatriz Galán, et al.. (2013). A highly conserved mycobacterial cholesterol catabolic pathway. Environmental Microbiology. 15(8). 2342–2359. 45 indexed citations
9.
Frank, Daniel J., Ilia G. Denisov, & Stephen G. Sligar. (2010). Analysis of Heterotropic Cooperativity in Cytochrome P450 3A4 Using α-Naphthoflavone and Testosterone. Journal of Biological Chemistry. 286(7). 5540–5545. 28 indexed citations
10.
Davydov, Dmitri R., Elena V. Sineva, Srinivas Sistla, et al.. (2009). Electron transfer in the complex of membrane-bound human cytochrome P450 3A4 with the flavin domain of P450BM-3: The effect of oligomerization of the heme protein and intermittent modulation of the spin equilibrium. Biochimica et Biophysica Acta (BBA) - Bioenergetics. 1797(3). 378–390. 47 indexed citations
11.
Frank, Daniel J., Ilia G. Denisov, & Stephen G. Sligar. (2009). Mixing apples and oranges: Analysis of heterotropic cooperativity in cytochrome P450 3A4. Archives of Biochemistry and Biophysics. 488(2). 146–152. 22 indexed citations
12.
Denisov, Ilia G., Daniel J. Frank, & Stephen G. Sligar. (2009). Cooperative properties of cytochromes P450. Pharmacology & Therapeutics. 124(2). 151–167. 94 indexed citations
13.
Lewis, Jennifer, et al.. (2004). COMPLIANCE CHAMBER PERFORMANCE IN THE FIRST CLINICAL APPLICATION OF THE Arrow LionHeart??? LVAS. ASAIO Journal. 50(2). 114–114. 1 indexed citations
14.
Weiss, Jason, Walter E. Pae, Daniel J. Frank, et al.. (2004). CLINICAL EXPERIENCE WITH TRANSCUTANEOUS POWER TRANSMISSION IN THE Arrow LionHeart??? LEFT VENTRICULAR ASSIST SYSTEM (LVAS). ASAIO Journal. 50(2). 114–114. 1 indexed citations
15.
Yoon, Joon Won, Yasuhiro Kita, Daniel J. Frank, et al.. (2002). Gene Expression Profiling Leads to Identification of GLI1-binding Elements in Target Genes and a Role for Multiple Downstream Pathways in GLI1-induced Cell Transformation. Journal of Biological Chemistry. 277(7). 5548–5555. 265 indexed citations
16.
Villavicencio, Elisabeth H., Joon Won Yoon, Daniel J. Frank, et al.. (2002). Cooperative E‐box regulation of human GLI1 by TWIST and USF. genesis. 32(4). 247–258. 34 indexed citations
17.
Pae, Walter E., Gerson Rosenberg, Alan J. Snyder, et al.. (2001). The LionHeart LVD-2000: a completely implanted left ventricular assist device for chronic circulatory support. The Annals of Thoracic Surgery. 71(3). S156–S161. 72 indexed citations
18.
Fey, O., Gerson Rosenberg, William S. Pierce, et al.. (2000). INTRATHORACIC VOLUME COMPENSATION CHAMBER FUNCTION IN CLINICAL LEFT VENTRICULAR ASSISTANCE. ASAIO Journal. 46(2). 197–197.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026