Donna M. Sudak

74 total papers · 1.8k total citations
45 papers, 1.1k citations indexed

About

Donna M. Sudak is a scholar working on Clinical Psychology, Social Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Donna M. Sudak has authored 45 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Clinical Psychology, 11 papers in Social Psychology and 9 papers in Experimental and Cognitive Psychology. Recurrent topics in Donna M. Sudak's work include Psychotherapy Techniques and Applications (8 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (7 papers) and Mental Health Research Topics (7 papers). Donna M. Sudak is often cited by papers focused on Psychotherapy Techniques and Applications (8 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (7 papers) and Mental Health Research Topics (7 papers). Donna M. Sudak collaborates with scholars based in United States, Brazil and Netherlands. Donna M. Sudak's co-authors include Muhammad Hassan Majeed, David A. Goldberg, Ali Ahsan Ali, Eric M. Plakun, Irismar Reis de Oliveira, Alan Lipschitz, John T. Maltsberger, HOWARD S. SUDAK, Herbert Hendin and A. Roy and has published in prestigious journals such as American Journal of Psychiatry, The Journal of Clinical Psychiatry and Psychosomatics.

In The Last Decade

Donna M. Sudak

42 papers receiving 1000 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Donna M. Sudak	643	306	271	161	113	45	1.1k
Donald Blair	748 1.2×	266 0.9×	323 1.2×	212 1.3×	86 0.8×	25	1.3k
Daniel C. Kopala‐Sibley	902 1.4×	301 1.0×	320 1.2×	116 0.7×	120 1.1×	60	1.3k
Elaine M. Heiby	442 0.7×	252 0.8×	242 0.9×	103 0.6×	112 1.0×	63	1.0k
Ramesh Manocha	535 0.8×	396 1.3×	158 0.6×	158 1.0×	73 0.6×	33	1.2k
Jane L. Wong	590 0.9×	223 0.7×	238 0.9×	178 1.1×	104 0.9×	23	1.1k
Courtney Zulauf	731 1.1×	317 1.0×	178 0.7×	243 1.5×	101 0.9×	32	1.3k
Paul R. King	700 1.1×	272 0.9×	453 1.7×	159 1.0×	68 0.6×	71	1.3k
Catharina Elisabeth Arfwedson Wang	509 0.8×	259 0.8×	262 1.0×	137 0.9×	121 1.1×	43	1.1k
Caleb J. Siefert	700 1.1×	231 0.8×	225 0.8×	138 0.9×	77 0.7×	55	1.1k
Carolina McBride	814 1.3×	427 1.4×	479 1.8×	118 0.7×	84 0.7×	35	1.2k

Countries citing papers authored by Donna M. Sudak

Since Specialization

Citations

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

Fields of papers citing papers by Donna M. Sudak

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Donna M. Sudak

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

All Works

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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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