Daniel Goodman

821 total citations
13 papers, 704 citations indexed

About

Daniel Goodman is a scholar working on Experimental and Cognitive Psychology, Clinical Psychology and Pharmacology. According to data from OpenAlex, Daniel Goodman has authored 13 papers receiving a total of 704 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Experimental and Cognitive Psychology, 4 papers in Clinical Psychology and 3 papers in Pharmacology. Recurrent topics in Daniel Goodman's work include Mental Health Research Topics (4 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (3 papers) and Treatment of Major Depression (3 papers). Daniel Goodman is often cited by papers focused on Mental Health Research Topics (4 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (3 papers) and Treatment of Major Depression (3 papers). Daniel Goodman collaborates with scholars based in United States, Russia and Israel. Daniel Goodman's co-authors include Mauricio X. Zuber, Larry R. Karns, Mark C. Fishman, Pamela Y. Gasdaska, Alfred Gallegos, Garth Powis, Charles W. Taylor, Martin B. Keller, Wilma Harrison and James P. McCullough and has published in prestigious journals such as Science, Journal of Affective Disorders and American Journal of Community Psychology.

In The Last Decade

Daniel Goodman

13 papers receiving 690 citations

Peers

Daniel Goodman
Comparison fields: 5 of 93
  • Molecular Biology 282
  • Cellular and Molecular Neuroscience 141
  • Clinical Psychology 127
  • Experimental and Cognitive Psychology 107
  • Pharmacology 100
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Citations per field, relative to Daniel Goodman
Daniel Goodman · 1×
Citations per year, relative to Daniel Goodman
Daniel Goodman · 1×

Countries citing papers authored by Daniel Goodman

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Goodman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Goodman

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

All Works

13 of 13 papers shown
# Work Indexed citations
1 172
2 41
3 46
4 4
5 3
6
Transfection with human thioredoxin increases cell proliferation and a dominant-negative mutant thioredoxin reverses the transformed phenotype of human breast cancer cells.
150
7
Over-expression of DT-diaphorase in transfected NIH 3T3 cells does not lead to increased anticancer quinone drug sensitivity: a questionable role for the enzyme as a target for bioreductively activated anticancer drugs.
33
8 7
9 197
10 8
11 30
12 5
13 8

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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