L. Gyulai

7.9k total citations · 2 hit papers
68 papers, 4.0k citations indexed

About

L. Gyulai is a scholar working on Psychiatry and Mental health, Molecular Biology and Clinical Psychology. According to data from OpenAlex, L. Gyulai has authored 68 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Psychiatry and Mental health, 7 papers in Molecular Biology and 6 papers in Clinical Psychology. Recurrent topics in L. Gyulai's work include Bipolar Disorder and Treatment (45 papers), Schizophrenia research and treatment (22 papers) and Electroconvulsive Therapy Studies (16 papers). L. Gyulai is often cited by papers focused on Bipolar Disorder and Treatment (45 papers), Schizophrenia research and treatment (22 papers) and Electroconvulsive Therapy Studies (16 papers). L. Gyulai collaborates with scholars based in United States, Canada and Germany. L. Gyulai's co-authors include Roy H. Perlis, Stephen R. Wisniewski, Michael E. Thase, Lauren B. Marangell, David J. Miklowitz, Peter C. Whybrow, Andrew A. Nierenberg, Michael W. Otto, Joseph R. Calabrese and Noreen A. Reilly-Harrington and has published in prestigious journals such as Science, New England Journal of Medicine and Journal of Biological Chemistry.

In The Last Decade

L. Gyulai

66 papers receiving 3.8k citations

Hit Papers

Effectiveness of Adjunctive Antidepressant Treatment for ... 2006 2026 2012 2019 2007 2006 100 200 300 400 500

Peers

L. Gyulai
Comparison fields: 5 of 126
  • Psychiatry and Mental health 3.0k
  • Clinical Psychology 691
  • Pharmacology 584
  • Radiology, Nuclear Medicine and Imaging 326
  • Biological Psychiatry 307
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Citations per field, relative to L. Gyulai
L. Gyulai · 1×
Citations per year, relative to L. Gyulai
L. Gyulai · 1×

Countries citing papers authored by L. Gyulai

Since Specialization
Citations

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

Fields of papers citing papers by L. Gyulai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of L. Gyulai

This figure shows the co-authorship network connecting the top 25 collaborators of L. Gyulai. A scholar is included among the top collaborators of L. Gyulai 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 L. Gyulai. L. Gyulai 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
# Work Indexed citations
1 36
2 1
3 22
4 47
5 134
6
Predictors of Recurrence in Bipolar Disorder: Primary Outcomes From the Systematic Treatment Enhancement Program for Bipolar Disorder (STEP-BD) breakdown →
519
7 23
8 113
9 32
10 76
11 35
12 40
13 122
14 32
15 269
16 31
17 52
18 42
19 77
20 4

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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