Danuta Marona‐Lewicka

2k citations
49 papers · 1.8k · h-index 24

Impact in

Papers in

Danuta Marona‐Lewicka

49 papers receiving 1.7k citations

Peers

Danuta Marona‐Lewicka
Comparison fields: 5 of 70
  • Toxicology 293
  • Clinical Psychology 793
  • Cellular and Molecular Neuroscience 430
  • Behavioral Neuroscience 21
  • Organic Chemistry 197
Replace J. D. JUN. MCKENNEY with:
J. D. JUN. MCKENNEY United States
Beth A. Compton-Toth United States
Sylvie Chaboz Switzerland
Nicholas V. Cozzi United States
Clinton Ernest Canal United States
Cécile Béguin United States
Raymond G. Booth United States
Lindsay P. Cameron United States
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Danuta Marona‐Lewicka relative to J. D. JUN. MCKENNEY United States J. D. JUN. MCKENNEY's profile →
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Citations per year

Countries citing papers authored by Danuta Marona‐Lewicka

Since Specialization
Citations

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

Fields of papers citing papers by Danuta Marona‐Lewicka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danuta Marona‐Lewicka. 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 Danuta Marona‐Lewicka. The network helps show where Danuta Marona‐Lewicka may publish in the future.

Co-authors

The 25 scholars most cited alongside Danuta Marona‐Lewicka, 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 Danuta Marona‐Lewicka Line = papers co-authored together Danuta Marona‐Lewicka links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005117
2 2000110
3 2006101
4 199694
5 200283
6 199777
7 199374
8 199672
9 199864
10 199461
11 199260
12 199959
13 201156
14 201454
15 200753
16 201253
17 200252
18 199549
19 200839
20 199430

About Danuta Marona‐Lewicka

Danuta Marona‐Lewicka is a scholar working on Cellular and Molecular Neuroscience, Clinical Psychology, Toxicology, Pharmacology and Psychiatry and Mental health, having authored 49 papers that have together received 1.8k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (30 papers), Psychedelics and Drug Studies (27 papers), Receptor Mechanisms and Signaling (4 papers), Forensic Toxicology and Drug Analysis (3 papers), Schizophrenia research and treatment (2 papers), Neuropeptides and Animal Physiology (2 papers), Treatment of Major Depression (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Toxicology (293 citations), Clinical Psychology (793 citations), Cellular and Molecular Neuroscience (430 citations), Behavioral Neuroscience (21 citations) and Organic Chemistry (197 citations). Danuta Marona‐Lewicka has collaborated with scholars based in United States and Poland. Frequent co-authors include David E. Nichols, Deborah M. Kurrasch‐Orbaugh, Aaron P. Monte, David L. Nelson, Ronald A. Thisted, Charles David Nichols, Huang Xuemei, David B. Wainscott, Medhane G. Cumbay and Jason C. Parrish. Their work appears in journals such as Journal of Medicinal Chemistry, Psychopharmacology, Pharmacology Biochemistry and Behavior, European Journal of Pharmacology and Neuropharmacology.

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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