Matthew Soleiman

658 citations
8 papers · 461 · h-index 5

Impact in

Papers in

Matthew Soleiman

7 papers receiving 456 citations

Peers

Matthew Soleiman
Comparison fields: 5 of 67
  • Cellular and Molecular Neuroscience 267
  • Behavioral Neuroscience 46
  • Developmental Neuroscience 45
  • Endocrine and Autonomic Systems 62
  • Cognitive Neuroscience 169
Replace K. Noelle Gracy with:
K. Noelle Gracy United States
W. Zieglga ̈nsberger Germany
B.L Meti India
J.M. de Brabander Netherlands
S. Pretel United States
Satoshi Ichisaka Japan
JM Palacios Netherlands
Agnieszka Gieryk Poland
Mónica López‐Hidalgo Mexico
Yanfang Xia United States
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Citations per field
00.5×7.3×
K. Noelle Gracy · 1×
Citations per year

Countries citing papers authored by Matthew Soleiman

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Soleiman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew Soleiman. 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 Matthew Soleiman. The network helps show where Matthew Soleiman may publish in the future.

Co-authors

The 16 scholars most cited alongside Matthew Soleiman, 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 Matthew Soleiman Line = papers co-authored together Matthew Soleiman links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2015319
2 201188
3 201429
4 197511
5 197510
6 19783
7
Production Data Analysis For Electric Submersible Pumping (ESP) Wells
20051
8
Adjusting our epistemic expectations: Explaining experience with nonreductive psychophysical laws
20150

About Matthew Soleiman

Matthew Soleiman is a scholar working on Organic Chemistry, Cellular and Molecular Neuroscience, Developmental Neuroscience, Molecular Biology and Social Psychology, having authored 8 papers that have together received 461 indexed citations. Recurring topics across this work include Chemical Reaction Mechanisms (2 papers), Organophosphorus compounds synthesis (2 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Oil and Gas Production Techniques (1 paper), Mental Health Research Topics (1 paper), Neuroinflammation and Neurodegeneration Mechanisms (1 paper), Reservoir Engineering and Simulation Methods (1 paper) and Various Chemistry Research Topics (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (267 citations), Behavioral Neuroscience (46 citations), Developmental Neuroscience (45 citations), Endocrine and Autonomic Systems (62 citations) and Cognitive Neuroscience (169 citations). Matthew Soleiman has collaborated with scholars based in France, United States and Egypt. Frequent co-authors include Richard D. Palmiter, Larry S. Zweifel, Marta E. Soden, Sung Han, George F. Koob, Olivier George, Chitra D. Mandyam, H. CHRISTOL, Henri‐Jean Cristau and Clara J. Yuan. Their work appears in journals such as Tetrahedron Letters, Cell, Neuropsychopharmacology, Psychopharmacology and PhilPapers (PhilPapers Foundation).

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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