Daniel A. Goodenough

21.3k citations
97 papers · 17.2k indexed · 7 hit papers · h-index 63

Daniel A. Goodenough

97 papers receiving 16.7k citations

Hit Papers

Beyond the gap: functions of unpai...57619702026198820074008001.2k

Peers

Daniel A. Goodenough
Comparison fields: 5 of 161
  • Neurology 3.8k
  • Molecular Biology 13.5k
  • Sensory Systems 444
  • Cell Biology 1.4k
  • Endocrine and Autonomic Systems 549
Replace Tetsuo Noda with:
Tetsuo Noda Japan
Norton B. Gilula United States
Hiroyuki Sasaki Japan
Marilyn G. Farquhar United States
Lino Tessarollo United States
Hartwig Wolburg Germany
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Daniel A. Goodenough relative to Tetsuo Noda Japan Tetsuo Noda's profile →
Citations per field
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Tetsuo Noda · 1×
Citations per year

Countries citing papers authored by Daniel A. Goodenough

Since Specialization
Citations

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

Fields of papers citing papers by Daniel A. Goodenough

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201176
2 201127
3 200782
4 2006177
5
Beyond the gap: functions of unpaired connexon channelsbreakdown →
2003576
6 2002125
7
Prenatal lens development in connexin43 and connexin50 double knockout mice.
200139
8 200111
9 200088
10 2000267
11 199973
12 199820
13 1998332
14 199844
15 1996169
16
CONNEXINS, CONNEXONS, AND INTERCELLULAR COMMUNICATIONbreakdown →
19961021
17 199479
18 1992255
19 199075
20
FRACTURE FACES OF ZONULAE OCCLUDENTES FROM "TIGHT" AND "LEAKY" EPITHELIAbreakdown →
1973878

About Daniel A. Goodenough

Daniel A. Goodenough is a scholar working on Neurology, Molecular Biology and Clinical Biochemistry, having authored 97 papers that have together received 17.2k indexed citations. Recurring topics across this work include Connexins and lens biology (76 papers), Barrier Structure and Function Studies (28 papers), Nicotinic Acetylcholine Receptors Study (20 papers), Heat shock proteins research (19 papers), Ion channel regulation and function (10 papers), Biochemical effects in animals (9 papers), Neurological Disease Mechanisms and Treatments (6 papers) and Advanced Glycation End Products research (5 papers). The work is most often cited by research in Neurology (3.8k citations), Molecular Biology (13.5k citations) and Sensory Systems (444 citations). Daniel A. Goodenough has collaborated with scholars based in United States, Germany and France. Frequent co-authors include David L. Paul, Linda S. Musil, Bruce R. Stevenson, Philippa Claude, Alexander M. Simon, Janet D. Siliciano, Mark S. Mooseker, Thomas W. White, Eric C. Beyer and Jeffrey A. Goliger. Their work appears in journals such as The Journal of Cell Biology, Molecular Biology of the Cell, Journal of Cell Science, Journal of Biological Chemistry and Proceedings of the National Academy of Sciences.

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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