Jeffrey M. Miller

4.8k citations
117 papers · 3.3k indexed · 1 hit paper · h-index 30
Topics
Functional Brain Connectivity Studies (31 papers)Treatment of Major Depression (24 papers)Neurotransmitter Receptor Influence on Behavior (15 papers)
Partner nations
United StatesChinaEgypt

In The Last Decade

Jeffrey M. Miller

115 papers receiving 3.2k citations

Hit Papers

Systematic Review of Gut Microbiota and Major Depression20192026202120232019100200300400

Peers

Jeffrey M. Miller
Comparison fields: 5 of 181
  • Cognitive Neuroscience 676
  • Molecular Biology 658
  • Biological Psychiatry 553
  • Pharmacology 429
  • Cellular and Molecular Neuroscience 414
Replace Xin‐Min Li with:
Xin‐Min Li Canada
Jean Pierre Oses Brazil
Liang‐Jen Wang Taiwan
Amnon Brzezinski Israel
Lennart Wetterberg Sweden
Bruno Claustrat France
Jürgen Kratzsch Germany
Élisabeth Lambert Australia
Mark W. Logue United States
Gail A. Laughlin United States
Jeffrey M. Miller relative to Xin‐Min Li Canada Xin‐Min Li's profile →
Citations per field
00.5×
Xin‐Min Li · 1×
Citations per year

Countries citing papers authored by Jeffrey M. Miller

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey M. Miller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeffrey M. Miller

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 3
3 1
4 10
5 1
6 1
7 3
8 51
9 2
10 14
11 16
12 1
13 22
14 23
15 21
16 30
17 27
18 24
19 14
20
Response: Interpretation of increasing foliar d15N in woody species along a rainfall gradient in northern Australia
25

About Jeffrey M. Miller

Jeffrey M. Miller is a scholar working on Biological Psychiatry, Behavioral Neuroscience and Cognitive Neuroscience, having authored 117 papers that have together received 3.3k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (31 papers), Treatment of Major Depression (24 papers) and Neurotransmitter Receptor Influence on Behavior (15 papers). The work is most often cited by research in Biological Psychiatry (553 citations), Behavioral Neuroscience (258 citations) and Cognitive Neuroscience (676 citations). Jeffrey M. Miller has collaborated with scholars based in United States, China and Egypt. Frequent co-authors include J. John Mann, María A. Oquendo, M. Elizabeth Sublette, Ramin V. Parsey, R. Todd Ogden, Son V. Pham, Anne‐Catrin Uhlemann, Stephanie Cheung, Ariel Goldenthal and Phuong-Thu Pham. Their work appears in journals such as Journal of Clinical Oncology, NeuroImage and American Journal of 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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