Thomas M. Laz

5.0k citations
29 papers · 4.2k indexed · 2 hit papers · h-index 25

Impact in

Papers in

Thomas M. Laz

28 papers receiving 4.1k citations

Hit Papers

GABAB receptors function as a heteromeric assembly of the subunits GABABR1 and GABABR2 1998 · 889 citations
8891996202620062016250500750

Peers

Thomas M. Laz
Comparison fields: 5 of 103
  • Cellular and Molecular Neuroscience 2.0k
  • Endocrine and Autonomic Systems 714
  • Physiology 281
  • Molecular Biology 2.6k
  • Reproductive Medicine 237
Replace Jong‐Ik Hwang with:
Jong‐Ik Hwang South Korea
John R. Hepler United States
C C Malbon United States
Kristen L. Pierce United States
James Douglass United States
Hiroyuki Sakagami Japan
Seungkirl Ahn United States
Stephen A. Wank United States
Stéphane A. Laporte Canada
Manfred Gratzl Germany
Thomas M. Laz relative to Jong‐Ik Hwang South Korea Jong‐Ik Hwang's profile →
Citations per field
00.5×2.7×
Jong‐Ik Hwang · 1×
Citations per year

Countries citing papers authored by Thomas M. Laz

Since Specialization
Citations

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

Fields of papers citing papers by Thomas M. Laz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Thomas M. Laz, 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 Thomas M. Laz Line = papers co-authored together Thomas M. Laz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20071
2 2003141
3 2002132
4 200298
5 2001178
6 200189
7 200061
8 200094
9 200092
10 20003
11
GABAB receptors function as a heteromeric assembly of the subunits GABABR1 and GABABR2
Hit paper breakdown →
1998889
12 199841
13 199653
14
A receptor subtype involved in neuropeptide-Y-induced food intake
Hit paper breakdown →
1996771
15 1994223
16 199486
17 1993113
18 199116
19 199156
20 19822

About Thomas M. Laz

Thomas M. Laz is a scholar working on Cellular and Molecular Neuroscience, Hepatology, Physiology, Endocrine and Autonomic Systems and Molecular Biology, having authored 29 papers that have together received 4.2k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (11 papers), Neuropeptides and Animal Physiology (10 papers), Liver physiology and pathology (6 papers), Nuclear Receptors and Signaling (4 papers), Pancreatic function and diabetes (3 papers), RNA Research and Splicing (3 papers), RNA and protein synthesis mechanisms (3 papers) and Cardiovascular, Neuropeptides, and Oxidative Stress Research (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.0k citations), Endocrine and Autonomic Systems (714 citations), Physiology (281 citations), Molecular Biology (2.6k citations) and Reproductive Medicine (237 citations). Thomas M. Laz has collaborated with scholars based in United States, Switzerland and Bulgaria. Frequent co-authors include Rebecca Taub, Eric L. Gustafson, Kenneth Mohn, Christophe Gerald, Theresa A. Branchek, Anna E. Melby, Kelli E. Smith, Margaret M. Durkin, Marvin Bayne and Fred Sherman. Their work appears in journals such as Journal of Biological Chemistry, Molecular and Cellular Biology, Molecular Pharmacology, Journal of Pharmacology and Experimental Therapeutics and Nature.

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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