Daniel Lazard

15 papers receiving 972 citations

Peers

Daniel Lazard
Comparison fields: 5 of 87
  • Sensory Systems 203
  • Pharmacology 101
  • Endocrinology, Diabetes and Metabolism 173
  • Nutrition and Dietetics 141
  • Cellular and Molecular Neuroscience 156
Replace Roseanna M. Muccitelli with:
Roseanna M. Muccitelli United States
Aikaterini Anagnostopoulou United Kingdom
Yu‐Chin Lien United States
Yan Bai China
Hui Cai China
Nigel Andrew Hibberts United Kingdom
D. Janjic Switzerland
Venkanna Pasham Germany
Xiang Wan China
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Citations per year

Countries citing papers authored by Daniel Lazard

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Lazard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Lazard, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Lazard Line = papers co-authored together Daniel Lazard links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 1993291
2 1991207
3 1989117
4 199896
5 199082
6
Molecular characterization and chromosome localization of a human angiotensin II AT2 receptor gene highly expressed in fetal tissues.
199453
7 199552
8 201223
9 201222
10 199919
11 199417
12 201013
13 201512
14 198911
15 19984
16 20210

About Daniel Lazard

Daniel Lazard is a scholar working on Sensory Systems, Nutrition and Dietetics, Endocrinology, Diabetes and Metabolism, Genetics and Surgery, having authored 16 papers that have together received 1.0k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (5 papers), Olfactory and Sensory Function Studies (5 papers), Diabetes and associated disorders (4 papers), Biochemical Analysis and Sensing Techniques (4 papers), Diabetes Management and Research (3 papers), Cannabis and Cannabinoid Research (2 papers), Renin-Angiotensin System Studies (2 papers) and Advanced Chemical Sensor Technologies (2 papers). The work is most often cited by research in Sensory Systems (203 citations), Pharmacology (101 citations), Endocrinology, Diabetes and Metabolism (173 citations), Nutrition and Dietetics (141 citations) and Cellular and Molecular Neuroscience (156 citations). Daniel Lazard has collaborated with scholars based in Israel, France and Switzerland. Frequent co-authors include Doron Lancet, Xavier Sastre, Marina A. Glukhova, Jean Paul Thiery, V.E. Koteliansky, Maria G. Frid, Miriam Khen, Karin Zupko, Janette Lazarovits and Konstantin O. Bloch. Their work appears in journals such as Diabetes/Metabolism Research and Reviews, Chemical Senses, The Journal of Clinical Endocrinology & Metabolism, Biochimica et Biophysica Acta (BBA) - Molecular Cell Research and Biochemistry.

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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