Nin Bajaj

5.2k total citations · 1 hit paper
45 papers, 3.3k citations indexed

About

Nin Bajaj is a scholar working on Neurology, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Nin Bajaj has authored 45 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Neurology, 15 papers in Cellular and Molecular Neuroscience and 8 papers in Molecular Biology. Recurrent topics in Nin Bajaj's work include Parkinson's Disease Mechanisms and Treatments (31 papers), Neurological disorders and treatments (27 papers) and Genetic Neurodegenerative Diseases (11 papers). Nin Bajaj is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (31 papers), Neurological disorders and treatments (27 papers) and Genetic Neurodegenerative Diseases (11 papers). Nin Bajaj collaborates with scholars based in United Kingdom, United States and Italy. Nin Bajaj's co-authors include Stefan Schwarz, Dorothee P. Auer, Kailash P. Bhatia, Peter G. Bain, Elan D. Louis, María Stamelou, Mark Hallett, Jan Raethjen, Günther Deuschl and Rodger J. Elble and has published in prestigious journals such as The Lancet, PLoS ONE and Neurology.

In The Last Decade

Nin Bajaj

43 papers receiving 3.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Consensus Statement on the classification of tremors. from the task force on tremor of the International Parkinson and Movement Disorder Society

2017 935 citations Kailash P. Bhatia, Nin Bajaj et al. Movement Disorders profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nin Bajaj United Kingdom	24	2.6k	1.1k	594	391	390	45	3.3k
Gennarina Arabia Italy	34	2.8k 1.1×	1.2k 1.0×	709 1.2×	350 0.9×	255 0.7×	106	3.5k
Chris C. Tang United States	28	1.7k 0.6×	729 0.7×	444 0.7×	258 0.7×	302 0.8×	70	2.6k
Fabiana Novellino Italy	32	2.0k 0.8×	928 0.8×	685 1.2×	301 0.8×	173 0.4×	76	2.7k
Maurizio Morelli Italy	30	1.9k 0.8×	719 0.6×	623 1.0×	267 0.7×	139 0.4×	84	2.4k
Marina Grisoli Italy	26	1.3k 0.5×	1.1k 1.0×	684 1.2×	456 1.2×	954 2.4×	83	2.7k
Rüdiger Hilker Germany	29	2.3k 0.9×	871 0.8×	686 1.2×	572 1.5×	241 0.6×	37	3.2k
Thomas Brücke Austria	35	1.8k 0.7×	1.3k 1.2×	403 0.7×	317 0.8×	492 1.3×	77	3.5k
Jan Vesper Germany	35	2.1k 0.8×	1.2k 1.1×	236 0.4×	596 1.5×	276 0.7×	133	4.0k
Alex Rajput Canada	31	2.8k 1.1×	1.5k 1.4×	154 0.3×	488 1.2×	499 1.3×	82	3.5k
Elena Salvatore Italy	30	902 0.3×	1.0k 0.9×	627 1.1×	279 0.7×	828 2.1×	101	2.6k

Countries citing papers authored by Nin Bajaj

Since Specialization

Citations

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

Fields of papers citing papers by Nin Bajaj

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nin Bajaj

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

All Works

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20 of 20 papers shown

Xing, Yue, Antonio Martín‐Bastida, Christopher R. Tench, et al.. (2022). Neuromelanin‐MRI to Quantify and Track Nigral Depigmentation in Parkinson's Disease: A Multicenter Longitudinal Study Using Template‐Based Standardized Analysis. Movement Disorders. 37(5). 1028–1039. 21 indexed citations

Malek, Naveed, Michael Lawton, Katherine A. Grosset, et al.. (2019). L-dopa responsiveness in early Parkinson's disease is associated with the rate of motor progression. Parkinsonism & Related Disorders. 65. 55–61. 22 indexed citations

Xing, Yue, et al.. (2019). Coordinate based meta-analysis of motor functional imaging in Parkinson’s: disease-specific patterns and modulation by dopamine replacement and deep brain stimulation. Brain Imaging and Behavior. 14(4). 1263–1280. 8 indexed citations

Schwarz, Stefan, Olivier Mougin, Yue Xing, et al.. (2018). Parkinson's disease related signal change in the nigrosomes 1–5 and the substantia nigra using T2* weighted 7T MRI. NeuroImage Clinical. 19. 683–689. 47 indexed citations

Lawton, Michael, Yoav Ben‐Shlomo, Margaret May, et al.. (2018). Developing and validating Parkinson’s disease subtypes and their motor and cognitive progression. Journal of Neurology Neurosurgery & Psychiatry. 89(12). 1279–1287. 111 indexed citations

Schwarz, Stefan, Yue Xing, Rob Skelly, et al.. (2017). Protocol of a single group prospective observational study on the diagnostic value of 3T susceptibility weighted MRI of nigrosome-1 in patients with parkinsonian symptoms: the N3 i PD study (nigrosomal i ron i maging i n Parkinson’s disease). BMJ Open. 7(12). e016904–e016904. 8 indexed citations

Malek, Naveed, Michael Lawton, Katherine A. Grosset, et al.. (2017). Utility of the new Movement Disorder Society clinical diagnostic criteria for Parkinson's disease applied retrospectively in a large cohort study of recent onset cases. Parkinsonism & Related Disorders. 40. 40–46. 15 indexed citations

Jackson, Stephen R., Laura Condon, Roger Newport, et al.. (2017). Optic ataxia and the dorsal visual steam re-visited: Impairment in bimanual haptic matching performed without vision. Cortex. 98. 60–72. 3 indexed citations

Malek, Naveed, Michael Lawton, Diane M.A. Swallow, et al.. (2016). Vascular disease and vascular risk factors in relation to motor features and cognition in early Parkinson's disease. Movement Disorders. 31(10). 1518–1526. 126 indexed citations

10.

Schwarz, Stefan, et al.. (2016). In Vivo Assessment of Brainstem Depigmentation in Parkinson Disease: Potential as a Severity Marker for Multicenter Studies. Radiology. 283(3). 789–798. 89 indexed citations

11.

Skelly, Rob, Lisa Brown, Apostolos Fakis, et al.. (2014). Does a specialist unit improve outcomes for hospitalized patients with Parkinson's disease?. Parkinsonism & Related Disorders. 20(11). 1242–1247. 28 indexed citations

12.

Schwarz, Stefan, Mohammed Afzal, Paul S. Morgan, et al.. (2014). The ‘Swallow Tail’ Appearance of the Healthy Nigrosome – A New Accurate Test of Parkinson's Disease: A Case-Control and Retrospective Cross-Sectional MRI Study at 3T. PLoS ONE. 9(4). e93814–e93814. 230 indexed citations

13.

Bajaj, Nin, Robert A. Hauser, John Seibyl, et al.. (2014). Association between Hoehn and Yahr, Mini-Mental State Examination, age, and clinical syndrome predominance and diagnostic effectiveness of ioflupane I 123 injection (DaTSCANTM) in subjects with clinically uncertain parkinsonian syndromes. Alzheimer s Research & Therapy. 6(5-8). 67–67. 9 indexed citations

14.

McBride, Jennifer M., Petroc Sumner, Stephen R. Jackson, Nin Bajaj, & Masud Husain. (2013). Exaggerated object affordance and absent automatic inhibition in alien hand syndrome. Cortex. 49(8). 2040–2054. 32 indexed citations

15.

Schwarz, Stefan, et al.. (2013). Diffusion tensor imaging of nigral degeneration in Parkinson's disease: A region-of-interest and voxel-based study at 3 T and systematic review with meta-analysis. NeuroImage Clinical. 3. 481–488. 130 indexed citations

16.

Kupsch, Andreas, Nin Bajaj, Frederick L. Weiland, et al.. (2012). Impact of DaTscan SPECT imaging on clinical management, diagnosis, confidence of diagnosis, quality of life, health resource use and safety in patients with clinically uncertain parkinsonian syndromes: a prospective 1-year follow-up of an open-label controlled study. Journal of Neurology Neurosurgery & Psychiatry. 83(6). 620–628. 57 indexed citations

17.

Wharton, Samuel, Stefan Schwarz, Vamsi Gontu, et al.. (2011). High resolution magnetic susceptibility mapping of the substantia nigra in Parkinson's disease. Journal of Magnetic Resonance Imaging. 35(1). 48–55. 174 indexed citations

18.

Paisán‐Ruíz, Coro, Monica Federoff, Haşmet Hanağası, et al.. (2010). Early‐onset L‐dopa‐responsive parkinsonism with pyramidal signs due to ATP13A2, PLA2G6, FBXO7 and spatacsin mutations. Movement Disorders. 25(12). 1791–1800. 178 indexed citations

19.

Paine, Simon, Lynn Bedford, Julian R. Thorpe, et al.. (2009). Immunoreactivity to Lys63-linked polyubiquitin is a feature of neurodegeneration. Neuroscience Letters. 460(3). 205–208. 34 indexed citations

20.

Jackson, Stephen R., et al.. (2009). There may be more to reaching than meets the eye: Re-thinking optic ataxia. Neuropsychologia. 47(6). 1397–1408. 40 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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