Natalie Katchmar

919 total citations
7 papers, 646 citations indexed

About

Natalie Katchmar is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Cellular and Molecular Neuroscience. According to data from OpenAlex, Natalie Katchmar has authored 7 papers receiving a total of 646 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cognitive Neuroscience, 3 papers in Psychiatry and Mental health and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Natalie Katchmar's work include Functional Brain Connectivity Studies (4 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (2 papers) and Neurotransmitter Receptor Influence on Behavior (2 papers). Natalie Katchmar is often cited by papers focused on Functional Brain Connectivity Studies (4 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (2 papers) and Neurotransmitter Receptor Influence on Behavior (2 papers). Natalie Katchmar collaborates with scholars based in United States. Natalie Katchmar's co-authors include Daniel H. Wolf, Theodore D. Satterthwaite, Kosha Ruparel, Mark A. Elliott, Joseph W. Kable, Tyler M. Moore, Jacob Kantrowitz, Christos Davatzikos, Danielle S. Bassett and Rachel Hershenberg and has published in prestigious journals such as NeuroImage, American Journal of Psychiatry and Neuropsychopharmacology.

In The Last Decade

Natalie Katchmar

7 papers receiving 640 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Natalie Katchmar United States 7 372 263 236 107 93 7 646
Kathrin C. Zierhut Germany 11 308 0.8× 251 1.0× 129 0.5× 69 0.6× 136 1.5× 12 601
Victoria B. Gradin Uruguay 12 542 1.5× 205 0.8× 302 1.3× 129 1.2× 118 1.3× 17 847
Yvonne Czechowska Canada 9 436 1.2× 277 1.1× 147 0.6× 79 0.7× 72 0.8× 9 700
Andrew W. Bismark United States 16 515 1.4× 257 1.0× 206 0.9× 76 0.7× 121 1.3× 32 845
Huixia Zhou China 12 500 1.3× 178 0.7× 301 1.3× 38 0.4× 119 1.3× 49 845
Cali Bartholomeusz Australia 12 209 0.6× 410 1.6× 148 0.6× 93 0.9× 168 1.8× 20 772
Valeria Rubino Italy 7 419 1.1× 217 0.8× 150 0.6× 171 1.6× 81 0.9× 8 687
Susanne Meinert Germany 15 317 0.9× 179 0.7× 191 0.8× 43 0.4× 153 1.6× 37 700
Erin C. Dowd United States 7 529 1.4× 578 2.2× 311 1.3× 153 1.4× 148 1.6× 7 901
Aybala Sarıçiçek Türkiye 16 352 0.9× 180 0.7× 122 0.5× 162 1.5× 75 0.8× 19 756

Countries citing papers authored by Natalie Katchmar

Since Specialization
Citations

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

Fields of papers citing papers by Natalie Katchmar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natalie Katchmar

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

All Works

7 of 7 papers shown
1.
Li, Zhengjun, Marta Vidorreta, Natalie Katchmar, et al.. (2018). Effects of resting state condition on reliability, trait specificity, and network connectivity of brain function measured with arterial spin labeled perfusion MRI. NeuroImage. 173. 165–175. 18 indexed citations
2.
Sharma, Anup, Daniel H. Wolf, Rastko Ćirić, et al.. (2017). Common Dimensional Reward Deficits Across Mood and Psychotic Disorders: A Connectome-Wide Association Study. American Journal of Psychiatry. 174(7). 657–666. 124 indexed citations
3.
Lee, Sangil, et al.. (2017). Steeper discounting of delayed rewards in schizophrenia but not first-degree relatives. Psychiatry Research. 252. 303–309. 35 indexed citations
4.
Hershenberg, Rachel, Theodore D. Satterthwaite, Natalie Katchmar, et al.. (2016). Diminished effort on a progressive ratio task in both unipolar and bipolar depression. Journal of Affective Disorders. 196. 97–100. 111 indexed citations
5.
Sharma, Anup, Theodore D. Satterthwaite, Natalie Katchmar, et al.. (2016). Divergent relationship of depression severity to social reward responses among patients with bipolar versus unipolar depression. Psychiatry Research Neuroimaging. 254. 18–25. 21 indexed citations
6.
Satterthwaite, Theodore D., Joseph W. Kable, Natalie Katchmar, et al.. (2015). Common and Dissociable Dysfunction of the Reward System in Bipolar and Unipolar Depression. Neuropsychopharmacology. 40(9). 2258–2268. 174 indexed citations
7.
Wolf, Daniel H., Theodore D. Satterthwaite, Jacob Kantrowitz, et al.. (2014). Amotivation in Schizophrenia: Integrated Assessment With Behavioral, Clinical, and Imaging Measures. Schizophrenia Bulletin. 40(6). 1328–1337. 163 indexed citations

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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