Saee Paliwal

682 total citations · 1 hit paper
8 papers, 447 citations indexed

About

Saee Paliwal is a scholar working on Neurology, Clinical Psychology and Molecular Biology. According to data from OpenAlex, Saee Paliwal has authored 8 papers receiving a total of 447 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Neurology, 3 papers in Clinical Psychology and 1 paper in Molecular Biology. Recurrent topics in Saee Paliwal's work include Neurological disorders and treatments (3 papers), Parkinson's Disease Mechanisms and Treatments (3 papers) and Obsessive-Compulsive Spectrum Disorders (2 papers). Saee Paliwal is often cited by papers focused on Neurological disorders and treatments (3 papers), Parkinson's Disease Mechanisms and Treatments (3 papers) and Obsessive-Compulsive Spectrum Disorders (2 papers). Saee Paliwal collaborates with scholars based in Switzerland, United Kingdom and Germany. Saee Paliwal's co-authors include Klaas Ε. Stephan, Marc Tittgemeyer, Frederike H. Petzschner, Christoph Mathys, Hélène Haker, Tim Gard, Lilian Weber, Stephen M. Fleming, Anil K. Seth and Zina M. Manjaly and has published in prestigious journals such as NeuroImage, Brain and Scientific Reports.

In The Last Decade

Saee Paliwal

7 papers receiving 433 citations

Hit Papers

Allostatic Self-efficacy: A Metacognitive Theory of Dysho... 2016 2026 2019 2022 2016 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Saee Paliwal Switzerland 7 216 145 99 84 59 8 447
Elsa Y. Costanzo Argentina 11 203 0.9× 134 0.9× 45 0.5× 110 1.3× 54 0.9× 17 405
Giada Lettieri Italy 10 229 1.1× 146 1.0× 49 0.5× 76 0.9× 51 0.9× 18 393
Sun I. Kim South Korea 11 164 0.8× 139 1.0× 42 0.4× 104 1.2× 46 0.8× 13 392
Noham Wolpe United Kingdom 13 402 1.9× 176 1.2× 84 0.8× 66 0.8× 54 0.9× 29 542
Siddharth Ramanan Australia 15 450 2.1× 368 2.5× 71 0.7× 68 0.8× 62 1.1× 31 643
Lena S. Geiger Germany 13 334 1.5× 96 0.7× 49 0.5× 120 1.4× 45 0.8× 27 544
Sanne Koops Netherlands 13 235 1.1× 196 1.4× 40 0.4× 79 0.9× 42 0.7× 34 465
Julia MacKinley Canada 9 79 0.4× 101 0.7× 148 1.5× 56 0.7× 54 0.9× 9 390
Stefan Fritze Germany 15 255 1.2× 356 2.5× 94 0.9× 64 0.8× 15 0.3× 41 673
Lena Oestreich Australia 15 353 1.6× 148 1.0× 25 0.3× 53 0.6× 62 1.1× 30 540

Countries citing papers authored by Saee Paliwal

Since Specialization
Citations

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

Fields of papers citing papers by Saee Paliwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saee Paliwal

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

All Works

8 of 8 papers shown
1.
Paliwal, Saee, et al.. (2026). Applications of modular co-design for de novo 3D molecule generation. Digital Discovery. 5(2). 754–768.
2.
Mosley, Philip, Saee Paliwal, Katherine Robinson, et al.. (2020). The structural connectivity of subthalamic deep brain stimulation correlates with impulsivity in Parkinson’s disease. Brain. 143(7). 2235–2254. 57 indexed citations
3.
Paliwal, Saee, et al.. (2020). Preclinical validation of therapeutic targets predicted by tensor factorization on heterogeneous graphs. Scientific Reports. 10(1). 18250–18250. 28 indexed citations
4.
Paliwal, Saee, Philip Mosley, Michael Breakspear, et al.. (2019). Subjective estimates of uncertainty during gambling and impulsivity after subthalamic deep brain stimulation for Parkinson’s disease. Scientific Reports. 9(1). 14795–14795. 15 indexed citations
5.
Mosley, Philip, Saee Paliwal, Katherine Robinson, et al.. (2019). The structural connectivity of discrete networks underlies impulsivity and gambling in Parkinson’s disease. Brain. 142(12). 3917–3935. 33 indexed citations
6.
Stephan, Klaas Ε., Zina M. Manjaly, Christoph Mathys, et al.. (2016). Allostatic Self-efficacy: A Metacognitive Theory of Dyshomeostasis-Induced Fatigue and Depression. Frontiers in Human Neuroscience. 10. 550–550. 287 indexed citations breakdown →
7.
Lomakina, Ekaterina I., Saee Paliwal, Andreea O. Diaconescu, et al.. (2015). Inversion of hierarchical Bayesian models using Gaussian processes. NeuroImage. 118. 133–145. 10 indexed citations
8.
Paliwal, Saee, et al.. (2014). A model-based analysis of impulsivity using a slot-machine gambling paradigm. Frontiers in Human Neuroscience. 8. 428–428. 17 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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