Daniel L. Azarnoff

7.0k citations
132 papers · 5.7k indexed · 1 hit paper · h-index 40
Topics
Pharmacogenetics and Drug Metabolism (18 papers)Metabolism and Genetic Disorders (11 papers)Analytical Methods in Pharmaceuticals (11 papers)

In The Last Decade

Daniel L. Azarnoff

129 papers receiving 5.0k citations

Hit Papers

Hypolipidaemic hepatic peroxisome proliferators form a no...19802026199520101980200400600

Peers

Daniel L. Azarnoff
Comparison fields: 5 of 150
  • Molecular Biology 2.0k
  • Pharmacology 971
  • Oncology 831
  • Clinical Biochemistry 720
  • Pharmacology 651
Replace M.W. Anders with:
M.W. Anders United States
Jerry B. Hook United States
Marcus M. Reidenberg United States
Thomas R. Tephly United States
Robert E. McMahon United States
Alan S. Nies United States
A Küpfer Switzerland
Jerry R. Mitchell United States
Toshinori Yamamoto Japan
Kan Chiba Japan
Daniel L. Azarnoff relative to M.W. Anders United States M.W. Anders's profile →
Citations per field
00.5×1.7×
M.W. Anders · 1×
Citations per year

Countries citing papers authored by Daniel L. Azarnoff

Since Specialization
Citations

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

Fields of papers citing papers by Daniel L. Azarnoff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel L. Azarnoff

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 10
2 1
3 13
4 24
5 0
6 3
7 15
8 32
9 13
10 8
11 3
12 88
13 19
14 25
15 28
16 6
17 63
18 21
19 64
20 46

About Daniel L. Azarnoff

Daniel L. Azarnoff is a scholar working on Pharmacology, Clinical Biochemistry and Nephrology, having authored 132 papers that have together received 5.7k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (18 papers), Metabolism and Genetic Disorders (11 papers) and Analytical Methods in Pharmaceuticals (11 papers). The work is most often cited by research in Pharmacology (971 citations), Clinical Biochemistry (720 citations) and Biochemistry (351 citations). Daniel L. Azarnoff has collaborated with scholars based in United States, Sweden and Germany. Frequent co-authors include Charles E. Hignite, Janardan K. Reddy, Donald J. Svoboda, David H. Huffman, Don W. Shoeman, Danny D. Shen, Suk Han Wan, R Gugler, Folke Sjöqvist and Harold Grady. Their work appears in journals such as Nature, Science and New England Journal of Medicine.

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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