David L. Garbers

22.9k citations
223 papers · 19.1k indexed · 4 hit papers · h-index 78

David L. Garbers

221 papers receiving 18.5k citations

Hit Papers

Guanylyl cyclase is a heat-stable enterotoxin receptor5091981202619962011250500750

Peers

David L. Garbers
Comparison fields: 5 of 150
  • Reproductive Medicine 4.2k
  • Physiology 1.7k
  • Aging 344
  • Cardiology and Cardiovascular Medicine 3.8k
  • Cellular and Molecular Neuroscience 2.7k
Replace Anthony R. Means with:
Anthony R. Means United States
Kevin Catt United States
Richard A. Steinhardt United States
Nobuyoshi Shimizu Japan
William J. Rutter United States
Robin F. Irvine United Kingdom
Andrea Ballabio Italy
Gilbert Vassart Belgium
Masahito Ikawa Japan
Aaron J.W. Hsueh United States
David L. Garbers relative to Anthony R. Means United States Anthony R. Means's profile →
Citations per field
00.5×1.5×1.8×
Anthony R. Means · 1×
Citations per year

Countries citing papers authored by David L. Garbers

Since Specialization
Citations

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

Fields of papers citing papers by David L. Garbers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 2007148
2 200659
3 200537
4 200470
5 2003290
6 200378
7 1998191
8 1997240
9 19912
10 19878
11 198024
12 197922
13 197913
14 19787
15 19721
16 19711
17 19699
18 19693
19 19692
20 19684

About David L. Garbers

David L. Garbers is a scholar working on Reproductive Medicine, Physiology and Aquatic Science, having authored 223 papers that have together received 19.1k indexed citations. Recurring topics across this work include Sperm and Testicular Function (56 papers), Reproductive Biology and Fertility (42 papers), Protein Hydrolysis and Bioactive Peptides (21 papers), Nitric Oxide and Endothelin Effects (18 papers), Neurobiology and Insect Physiology Research (18 papers), Heart Failure Treatment and Management (17 papers), Animal Genetics and Reproduction (16 papers) and Reproductive biology and impacts on aquatic species (14 papers). The work is most often cited by research in Reproductive Medicine (4.2k citations), Physiology (1.7k citations) and Aging (344 citations). David L. Garbers has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Michael Chinkers, G. Swarup, Stanley Cohen, David Lowe, Gregory S. Kopf, Peter S.T. Yuen, F. Kent Hamra, Timothy A. Quill, Ichiro Kishimoto and D. Janette Tubb. Their work appears in journals such as Nature, Science and Cell.

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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