James M. Stafford

2.9k citations
20 papers · 1.4k indexed · h-index 16

James M. Stafford

19 papers receiving 1.4k citations

Peers

James M. Stafford
Comparison fields: 5 of 121
  • Genetics 173
  • Biological Psychiatry 39
  • Behavioral Neuroscience 53
  • Cognitive Neuroscience 254
  • Molecular Biology 868
Replace Martin Begemann with:
Martin Begemann Germany
Mark Verheul Netherlands
Gregory D. Ferguson United States
Anthony J. Griswold United States
Enrica Audero Italy
Kimberly A. Aldinger United States
Seda S. Tolu United States
Kiran K. Mantripragada United Kingdom
Sheena Lee United Kingdom
Xianjin Zhou United States
James M. Stafford relative to Martin Begemann Germany Martin Begemann's profile →
Citations per field
00.5×1.5×1.9×
Martin Begemann · 1×
Citations per year

Countries citing papers authored by James M. Stafford

Since Specialization
Citations

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

Fields of papers citing papers by James M. Stafford

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James M. Stafford. 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 James M. Stafford. The network helps show where James M. Stafford may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 202427
3 20235
4 20227
5 202136
6 202045
7 2019172
8 201964
9 201975
10 201963
11 2018110
12 201710
13 2014103
14 2014229
15 2014177
16 2012126
17 201130
18
Who is at risk? Population characterization of alcohol self-administration in nonhuman primates helps identify pathways to dependence.
200873
19 200532
20 200347

About James M. Stafford

James M. Stafford is a scholar working on Genetics, Biological Psychiatry and Developmental Neuroscience, having authored 20 papers that have together received 1.4k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (10 papers), Glioma Diagnosis and Treatment (4 papers), Genomics and Chromatin Dynamics (4 papers), Genetics and Neurodevelopmental Disorders (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Memory and Neural Mechanisms (2 papers), RNA modifications and cancer (2 papers) and Ion channel regulation and function (2 papers). The work is most often cited by research in Genetics (173 citations), Biological Psychiatry (39 citations) and Behavioral Neuroscience (53 citations). James M. Stafford has collaborated with scholars based in United States, Italy and Denmark. Frequent co-authors include Danny Reinberg, K. Matthew Lattal, Jia-Ray Yu, Chul‐Hwan Lee, Ozgur Oksuz, Zhonghua Gao, Anne Schaefer, Pedro Lee, Eric I. Campos and Jonathan D. Raybuck. Their work appears in journals such as Science Advances, Genes & Development, Acta Neuropathologica Communications, Biological Psychiatry and RSC Advances.

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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