Daniel T. O’Connor

20.0k citations
367 papers · 15.8k · 1 hit paper · h-index 67

Impact in

Papers in

    • Receptor Mechanisms and Signaling 63
    • Nicotinic Acetylcholine Receptors Study 28
    • Lipid Membrane Structure and Behavior 25
    • Cellular transport and secretion 92
    • Biotin and Related Studies 29

Daniel T. O’Connor

362 papers receiving 15.3k citations

Daniel T. O’Connor's Hit Papers

The Chromogranin–Secretogranin Family 2003 · 663 citations
6630+7+15Years since publication200400600

Peers

Daniel T. O’Connor
Comparison fields: 5 of 152
  • Cell Biology 3.0k
  • Cellular and Molecular Neuroscience 3.1k
  • Behavioral Neuroscience 570
  • Biological Psychiatry 278
  • Endocrinology, Diabetes and Metabolism 1.6k
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Michael A. Moskowitz United States
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Daniel T. O’Connor relative to Paul A. Insel United States Paul A. Insel's profile →
Citations per field
00.5×1.6×
Paul A. Insel · 1×
Citations per year

Countries citing papers authored by Daniel T. O’Connor

Since Specialization
Citations

This map shows the geographic impact of Daniel T. O’Connor'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 T. O’Connor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel T. O’Connor more than expected).

Fields of papers citing papers by Daniel T. O’Connor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel T. O’Connor. 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 T. O’Connor. The network helps show where Daniel T. O’Connor may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel T. O’Connor, 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 T. O’Connor Line = papers co-authored together Daniel T. O’Connor links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 367 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Chromogranin–Secretogranin Family
Hit paper breakdown →
2003663
2 1986405
3 1997334
4 1998282
5 2014276
6 2005255
7 2000246
8 1999245
9 1983215
10 1984193
11 1983192
12 1984188
13 2002171
14 1983155
15 1989152
16 1997141
17 2011138
18 2005134
19 2015133
20 2007126

About Daniel T. O’Connor

Daniel T. O’Connor is a scholar working on Molecular Biology, Cell Biology, Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine, having authored 367 papers that have together received 15.8k indexed citations. Recurring topics across this work include Cellular transport and secretion (92 papers), Receptor Mechanisms and Signaling (63 papers), Hormonal Regulation and Hypertension (30 papers), Biotin and Related Studies (29 papers), Nicotinic Acetylcholine Receptors Study (28 papers), Neuropeptides and Animal Physiology (27 papers), Lipid Membrane Structure and Behavior (25 papers) and Blood Pressure and Hypertension Studies (21 papers). The work is most often cited by research in Cell Biology (3.0k citations), Cellular and Molecular Neuroscience (3.1k citations), Behavioral Neuroscience (570 citations), Biological Psychiatry (278 citations) and Endocrinology, Diabetes and Metabolism (1.6k citations). Daniel T. O’Connor has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Robert J. Parmer, Sushil K. Mahata, Laurent Taupenot, Manjula Mahata, Leonard J. Deftos, Michael G. Ziegler, Fangwen Rao, Ronald P. Frigon, Brian P. Kennedy and Geert W. Schmid‐Schönbein. Their work appears in journals such as Hypertension, Journal of Biological Chemistry, Journal of Hypertension, Endocrinology and Journal of Clinical Investigation.

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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