Daniel W. Bloodgood

802 citations
7 papers · 409 indexed · h-index 7
Topics
Neurotransmitter Receptor Influence on Behavior (5 papers)Neuropeptides and Animal Physiology (3 papers)Neuroscience and Neuropharmacology Research (3 papers)
Partner nations
United States

In The Last Decade

Daniel W. Bloodgood

7 papers receiving 405 citations

Peers

Daniel W. Bloodgood
Comparison fields: 5 of 51
  • Cellular and Molecular Neuroscience 279
  • Cognitive Neuroscience 182
  • Molecular Biology 127
  • Behavioral Neuroscience 120
  • Social Psychology 67
Replace Junko Ishikawa with:
Junko Ishikawa Japan
Christina A. Sanford United States
Jessica R. Tooley United States
Kristina Valentinova France
Stacey L. Robinson United States
Elizabeth M. Avegno United States
Veronika Kondev United States
Sophie Masneuf Switzerland
Thomas N. Greenwell United States
Irakli Mania United States
Daniel W. Bloodgood relative to Junko Ishikawa Japan Junko Ishikawa's profile →
Citations per field
00.5×6.2×
Junko Ishikawa · 1×
Citations per year

Countries citing papers authored by Daniel W. Bloodgood

Since Specialization
Citations

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

Fields of papers citing papers by Daniel W. Bloodgood

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel W. Bloodgood

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel W. Bloodgood. A scholar is included among the top collaborators of Daniel W. Bloodgood based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel W. Bloodgood. Daniel W. Bloodgood is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
#WorkIndexed citations
1 8
2 16
3 7
4 46
5 51
6 164
7 117

About Daniel W. Bloodgood

Daniel W. Bloodgood is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Cognitive Neuroscience, having authored 7 papers that have together received 409 indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (5 papers), Neuropeptides and Animal Physiology (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Behavioral Neuroscience (120 citations), Cellular and Molecular Neuroscience (279 citations) and Biological Psychiatry (27 citations). Daniel W. Bloodgood has collaborated with scholars based in United States. Frequent co-authors include Thomas L. Kash, Jonathan A. Sugam, Andrew Holmes, Kristen M. Boyt, Nora M. McCall, Dipanwita Pati, Ream Al‐Hasani, Jennifer L. Whistler, Michael J. Krashes and Nicole A. Crowley. Their work appears in journals such as Journal of Neuroscience, Neuropsychopharmacology and Molecular Psychiatry.

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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