Christopher J. Starr

606 citations
6 papers · 456 indexed · h-index 5
Topics
Pain Mechanisms and Treatments (4 papers)Pain Management and Placebo Effect (4 papers)MRI in cancer diagnosis (2 papers)
Journals
Journal of NeuroscienceSHILAP Revista de lepidopterologíaBrain
Partner nations
United StatesIsrael

In The Last Decade

Christopher J. Starr

6 papers receiving 448 citations

Peers

Christopher J. Starr
Comparison fields: 5 of 65
  • Cognitive Neuroscience 247
  • Physiology 207
  • Psychiatry and Mental health 121
  • Pharmacology 85
  • Experimental and Cognitive Psychology 53
Replace Gabi Barmettler with:
Gabi Barmettler United States
Andrew J. Furman United States
P Youell United Kingdom
Liala De Armas Italy
R. Knab Germany
Roberto Miliucci Italy
Junseok A. Kim Canada
Emily P. Mills Australia
Emanuel N. van den Broeke Belgium
JianGuo Zhong China
Christopher J. Starr relative to Gabi Barmettler United States Gabi Barmettler's profile →
Citations per field
00.5×1.7×
Gabi Barmettler · 1×
Citations per year

Countries citing papers authored by Christopher J. Starr

Since Specialization
Citations

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

Fields of papers citing papers by Christopher J. Starr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher J. Starr. 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 Christopher J. Starr. The network helps show where Christopher J. Starr may publish in the future.

Co-authorship network of co-authors of Christopher J. Starr

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher J. Starr. A scholar is included among the top collaborators of Christopher J. Starr 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 Christopher J. Starr. Christopher J. Starr is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
#WorkIndexed citations
1 3
2 7
3 93
4 124
5 22
6 207

About Christopher J. Starr

Christopher J. Starr is a scholar working on Cognitive Neuroscience, Physiology and Pharmacology, having authored 6 papers that have together received 456 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (4 papers), Pain Management and Placebo Effect (4 papers) and MRI in cancer diagnosis (2 papers). The work is most often cited by research in Cognitive Neuroscience (247 citations), Psychiatry and Mental health (121 citations) and Physiology (207 citations). Christopher J. Starr has collaborated with scholars based in United States and Israel. Frequent co-authors include Robert C. Coghill, Alexandre Silva de Quevedo, Lumy Sawaki, George F. Wittenberg, Yoshitetsu Oshiro, Jonathan H. Burdette, John G. McHaffie, Irit Weissman‐Fogel, David Yarnitsky and Katherine T. Martucci. Their work appears in journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and Brain.

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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