Shilpa Chitnis

1.5k total citations
31 papers, 1.1k citations indexed

About

Shilpa Chitnis is a scholar working on Neurology, Cellular and Molecular Neuroscience and Psychiatry and Mental health. According to data from OpenAlex, Shilpa Chitnis has authored 31 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Neurology, 9 papers in Cellular and Molecular Neuroscience and 6 papers in Psychiatry and Mental health. Recurrent topics in Shilpa Chitnis's work include Parkinson's Disease Mechanisms and Treatments (18 papers), Neurological disorders and treatments (16 papers) and Genetic Neurodegenerative Diseases (7 papers). Shilpa Chitnis is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (18 papers), Neurological disorders and treatments (16 papers) and Genetic Neurodegenerative Diseases (7 papers). Shilpa Chitnis collaborates with scholars based in United States, France and Australia. Shilpa Chitnis's co-authors include Svjetlana Miocinovic, Jerrold L. Vitek, Richard B. Dewey, Seamas C. Donnelly, Peter K. Gregersen, Frederick Wolfe, Janice Monteiro, Richard Bucala, Xinchun Lin and Barry J. Plant and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Brain.

In The Last Decade

Shilpa Chitnis

28 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shilpa Chitnis United States 13 514 373 299 112 96 31 1.1k
Timothy J. Counihan Ireland 17 433 0.8× 272 0.7× 77 0.3× 102 0.9× 94 1.0× 45 1.0k
Juan Marín‐Lahoz Spain 18 718 1.4× 195 0.5× 63 0.2× 258 2.3× 49 0.5× 53 978
Malik Zaben United Kingdom 18 344 0.7× 437 1.2× 70 0.2× 57 0.5× 150 1.6× 76 1.2k
Urszula Fiszer Poland 15 403 0.8× 168 0.5× 159 0.5× 34 0.3× 246 2.6× 59 974
Neal Hermanowicz United States 15 357 0.7× 112 0.3× 48 0.2× 142 1.3× 45 0.5× 37 734
Steven R. Schwid United States 14 677 1.3× 117 0.3× 152 0.5× 40 0.4× 119 1.2× 23 1.6k
Hiroya Utsumi Japan 18 619 1.2× 166 0.4× 51 0.2× 91 0.8× 24 0.3× 47 925
Christian Cordano United States 19 198 0.4× 68 0.2× 107 0.4× 70 0.6× 219 2.3× 48 975
Stephen VanHaerents United States 18 185 0.4× 174 0.5× 86 0.3× 394 3.5× 204 2.1× 32 976

Countries citing papers authored by Shilpa Chitnis

Since Specialization
Citations

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

Fields of papers citing papers by Shilpa Chitnis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shilpa Chitnis

This figure shows the co-authorship network connecting the top 25 collaborators of Shilpa Chitnis. A scholar is included among the top collaborators of Shilpa Chitnis 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 Shilpa Chitnis. Shilpa Chitnis 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
1.
Shah, Bhavya, et al.. (2023). Structural MRI Ratios Fail to Distinguish Progressive Supranuclear Palsy From Parkinson Disease in Individual Patients. Neurology Clinical Practice. 13(3). e200157–e200157. 3 indexed citations
2.
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McDaniels, Bradley, et al.. (2023). Early-onset Parkinson's disease: An assessment of unmet psychosocial needs. Parkinsonism & Related Disorders. 110. 105395–105395. 10 indexed citations
4.
Goldberg, Mark P., et al.. (2022). Education Research: Enhancing Medical Student Interest in Careers in the Clinical Neurosciences Through a Hands-on Procedure Workshop. PubMed. 1(1). e200010–e200010. 3 indexed citations
5.
Behrman, Alison, et al.. (2021). Dysarthria treatment for Parkinson’s disease: one-year follow-up of SPEAK OUT! ® with the LOUD Crowd ®. Logopedics Phoniatrics Vocology. 47(4). 271–278. 8 indexed citations
6.
Chambers, Elizabeth, et al.. (2020). Patient perceptions and knowledge of Parkinson's disease and treatment (KnowPD). Clinical Parkinsonism & Related Disorders. 3. 100038–100038. 20 indexed citations
7.
Shah, Bhavya, Vance T. Lehman, Timothy J. Kaufmann, et al.. (2020). Advanced MRI techniques for transcranial high intensity focused ultrasound targeting. Brain. 143(9). 2664–2672. 28 indexed citations
8.
Sharma, Vibhash D., et al.. (2018). Deep Brain Stimulation and Sleep-Wake Disturbances in Parkinson Disease: A Review. Frontiers in Neurology. 9. 697–697. 40 indexed citations
9.
Yazdani, Umar, Richard B. Dewey, Neepa Patel, et al.. (2017). Comparison of Globus Pallidus Interna and Subthalamic Nucleus in Deep Brain Stimulation for Parkinson Disease: An Institutional Experience and Review. Parkinson s Disease. 2017. 1–15. 17 indexed citations
10.
Dewey, Richard B., Padraig O’Suilleabhain, Manjit K. Sanghera, et al.. (2016). Developing a Deep Brain Stimulation Neuromodulation Network for Parkinson Disease, Essential Tremor, and Dystonia: Report of a Quality Improvement Project. PLoS ONE. 11(10). e0164154–e0164154. 2 indexed citations
11.
Samudra, Niyatee, Neepa Patel, Kyle Womack, Pravin Khemani, & Shilpa Chitnis. (2016). Psychosis in Parkinson Disease: A Review of Etiology, Phenomenology, and Management. Drugs & Aging. 33(12). 855–863. 35 indexed citations
12.
Sharma, Vibhash D., Alberto Bona, Alessandra Madia Mantovani, et al.. (2015). Cystic Lesions as a Rare Complication of Deep Brain Stimulation. Movement Disorders Clinical Practice. 3(1). 87–90. 6 indexed citations
13.
Miocinovic, Svjetlana, Ira H. Bernstein, Pravin Khemani, et al.. (2014). Automated gait and balance parameters diagnose and correlate with severity in Parkinson disease. Journal of the Neurological Sciences. 345(1-2). 131–138. 69 indexed citations
14.
Miocinovic, Svjetlana, et al.. (2013). Role of Electrode Location in the Development of Cognitive Impairment Following Bilateral STN DBS Surgery (P06.103). Neurology. 80(7_supplement). 1 indexed citations
15.
Tossberg, John T., Philip S. Crooke, Melodie A. Henderson, et al.. (2011). Gene-expression signatures: biomarkers toward diagnosing multiple sclerosis. Genes and Immunity. 13(2). 146–154. 18 indexed citations
16.
Chitnis, Shilpa, et al.. (2011). Outcomes From Switching From Rotigotine Patch to Alternate Therapies in Parkinson's Disease. International Journal of Neuroscience. 122(1). 22–25. 3 indexed citations
17.
Sadeghian, Hamid, Shilpa Chitnis, & Jeffrey L. Elliott. (2010). Deep Brain Stimulation Artifact in Needle Electromyography. Archives of Neurology. 67(8). 1030–1030. 3 indexed citations
18.
19.
Chitnis, Shilpa, Debasis Mondal, & Krishna C. Agrawal. (2002). Zidovudine (AZT) treatment suppresses granulocyte-monocyte colony stimulating factor receptor type alpha (GM-CSFRα) gene expression in murine bone marrow cells. Life Sciences. 71(8). 967–978. 20 indexed citations
20.
Baugh, John A., Shilpa Chitnis, Seamas C. Donnelly, et al.. (2002). A functional promoter polymorphism in the macrophage migration inhibitory factor (MIF) gene associated with disease severity in rheumatoid arthritis. Genes and Immunity. 3(3). 170–176. 314 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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