Alex M. Nadzan

3.6k citations
68 papers · 2.9k indexed · 2 hit papers · h-index 26
Topics
Neuropeptides and Animal Physiology (18 papers)Estrogen and related hormone effects (15 papers)Retinoids in leukemia and cellular processes (14 papers)

In The Last Decade

Alex M. Nadzan

68 papers receiving 2.8k citations

Hit Papers

Sensitization of diabetic and obese mice to insulin...197720261993200919971977100200300400500

Peers

Alex M. Nadzan
Comparison fields: 5 of 107
  • Molecular Biology 1.7k
  • Organic Chemistry 673
  • Genetics 435
  • Cellular and Molecular Neuroscience 425
  • Cancer Research 355
Replace Rayudu Gopalakrishna with:
Rayudu Gopalakrishna United States
Angelo Benedetti Italy
G. Gaviraghi Italy
Dale E. Mais United States
Tommaso Galeotti Italy
Tanihiro Yoshimoto Japan
Dorothy M. Morré United States
Robert E. Zipkin United States
Piyali Dasgupta United States
Elena Obrador Spain
Alex M. Nadzan relative to Rayudu Gopalakrishna United States Rayudu Gopalakrishna's profile →
Citations per field
00.5×4.2×
Rayudu Gopalakrishna · 1×
Citations per year

Countries citing papers authored by Alex M. Nadzan

Since Specialization
Citations

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

Fields of papers citing papers by Alex M. Nadzan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alex M. Nadzan. 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 Alex M. Nadzan. The network helps show where Alex M. Nadzan may publish in the future.

Co-authorship network of co-authors of Alex M. Nadzan

This figure shows the co-authorship network connecting the top 25 collaborators of Alex M. Nadzan. A scholar is included among the top collaborators of Alex M. Nadzan 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 Alex M. Nadzan. Alex M. Nadzan 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 8
2 40
3 13
4 18
5 44
6 120
7
Sensitization of diabetic and obese mice to insulin by retinoid X receptor agonistsbreakdown →
515
8 134
9 2
10 69
11 5
12 5
13 6
14 13
15 38
16 6
17 10
18 24
19 53
20 25

About Alex M. Nadzan

Alex M. Nadzan is a scholar working on Cellular and Molecular Neuroscience, Clinical Biochemistry and Biochemistry, having authored 68 papers that have together received 2.9k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (18 papers), Estrogen and related hormone effects (15 papers) and Retinoids in leukemia and cellular processes (14 papers). The work is most often cited by research in Biochemistry (223 citations), Molecular Biology (1.7k citations) and Cancer Research (355 citations). Alex M. Nadzan has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Marcus F. Boehm, Richard A. Heyman, Thomas Arrhenius, Jie‐Fei Cheng, Eric D. Bischoff, G. Büchi, John M. Essigmann, William F. Busby, Gerald N. Wogan and V N Reinhold. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

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