Ivan Koychev

5.0k citations
85 papers · 1.2k · 1 hit paper · h-index 22

Impact in

Papers in

Ivan Koychev

78 papers receiving 1.1k citations

Ivan Koychev's Hit Papers

An analysis on the role of glucagon-like peptide-1 receptor agonists in cognitive and mental health disorders 2025 · 24 citations
240Years since publication5101520

Peers

Ivan Koychev
Comparison fields: 5 of 107
  • Psychiatry and Mental health 350
  • Biological Psychiatry 34
  • Cognitive Neuroscience 252
  • Experimental and Cognitive Psychology 119
  • Neurology 71
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Judy Pa United States
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Sara Bernini Italy
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Angela Federico Italy
Grazia Dell’Agnello Italy
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Countries citing papers authored by Ivan Koychev

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Koychev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201467
2 201753
3 201050
4 201848
5 202444
6 201743
7 202040
8 201134
9 201932
10 202032
11
Nightmares and suicide: predicting risk in depression.
201431
12 201829
13 201327
14
An analysis on the role of glucagon-like peptide-1 receptor agonists in cognitive and mental health disorders
Hit paper breakdown →
202524
15 201824
16 202124
17 202024
18 202324
19 201623
20 202221

About Ivan Koychev

Ivan Koychev is a scholar working on Psychiatry and Mental health, Physiology, Cognitive Neuroscience, Experimental and Cognitive Psychology and Pharmacology, having authored 85 papers that have together received 1.2k indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (31 papers), Alzheimer's disease research and treatments (11 papers), Functional Brain Connectivity Studies (9 papers), Schizophrenia research and treatment (7 papers), Treatment of Major Depression (5 papers), Sleep and related disorders (5 papers), Health, Environment, Cognitive Aging (4 papers) and Diabetes Treatment and Management (4 papers). The work is most often cited by research in Psychiatry and Mental health (350 citations), Biological Psychiatry (34 citations), Cognitive Neuroscience (252 citations), Experimental and Cognitive Psychology (119 citations) and Neurology (71 citations). Ivan Koychev has collaborated with scholars based in United Kingdom, United States and Ireland. Frequent co-authors include J.F.W. Deakin, Corinna Haenschel, Wael El‐Deredy, David Okai, Philip McGuire, Mercè Correa, John D. Salamone, Claire Lancaster, Chris Hinds and Henrik Zetterberg. Their work appears in journals such as Alzheimer s & Dementia, Journal of Alzheimer s Disease, Alzheimer s Research & Therapy, The British Journal of Psychiatry and European Neuropsychopharmacology.

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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