Anil M. Tuladhar

7.4k total citations · 3 hit papers
118 papers, 4.4k citations indexed

About

Anil M. Tuladhar is a scholar working on Radiology, Nuclear Medicine and Imaging, Psychiatry and Mental health and Neurology. According to data from OpenAlex, Anil M. Tuladhar has authored 118 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Radiology, Nuclear Medicine and Imaging, 39 papers in Psychiatry and Mental health and 38 papers in Neurology. Recurrent topics in Anil M. Tuladhar's work include Advanced Neuroimaging Techniques and Applications (46 papers), Acute Ischemic Stroke Management (37 papers) and Dementia and Cognitive Impairment Research (33 papers). Anil M. Tuladhar is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (46 papers), Acute Ischemic Stroke Management (37 papers) and Dementia and Cognitive Impairment Research (33 papers). Anil M. Tuladhar collaborates with scholars based in Netherlands, Germany and United Kingdom. Anil M. Tuladhar's co-authors include Frank‐Erik de Leeuw, David G. Norris, Karlijn F. de Laat, Anouk G.W. van Norden, Esther M.C. van Leijsen, Ewoud J. van Dijk, Marcel P. Zwiers, Catharina J.M. Klijn, Esther M. Boot and Kim Wiegertjes and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Anil M. Tuladhar

109 papers receiving 4.3k citations

Hit Papers

Cerebral small vessel disease: from a focal to a global p... 2018 2026 2020 2023 2018 2018 2024 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anil M. Tuladhar Netherlands 33 1.4k 1.2k 1.1k 1.0k 946 118 4.4k
Vittorio Di Piero Italy 35 621 0.4× 949 0.8× 676 0.6× 1.4k 1.4× 666 0.7× 157 4.4k
R. Schmidt Austria 17 797 0.6× 1.6k 1.2× 1.2k 1.1× 985 1.0× 732 0.8× 28 3.8k
Kersten Villringer Germany 32 1.1k 0.8× 972 0.8× 1.1k 1.0× 434 0.4× 355 0.4× 107 3.8k
Anna Poggesi Italy 33 632 0.5× 885 0.7× 930 0.9× 1.1k 1.1× 777 0.8× 88 3.4k
Roberto Gasparotti Italy 36 911 0.7× 1.7k 1.4× 613 0.6× 985 1.0× 465 0.5× 171 5.2k
H. Offenbacher Austria 26 1.0k 0.7× 1.2k 1.0× 922 0.8× 1.0k 1.0× 978 1.0× 39 4.3k
Julie Staals Netherlands 33 773 0.6× 1.7k 1.4× 1.6k 1.5× 647 0.6× 1.2k 1.3× 130 4.3k
G. L. Lenzi Italy 31 654 0.5× 1.1k 0.9× 794 0.7× 777 0.8× 689 0.7× 93 3.7k
Éric Jouvent France 31 733 0.5× 1.8k 1.5× 580 0.5× 602 0.6× 728 0.8× 99 3.5k
Norbert Nighoghossian France 36 706 0.5× 2.2k 1.8× 2.7k 2.5× 404 0.4× 1.4k 1.5× 253 6.1k

Countries citing papers authored by Anil M. Tuladhar

Since Specialization
Citations

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

Fields of papers citing papers by Anil M. Tuladhar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anil M. Tuladhar. 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 Anil M. Tuladhar. The network helps show where Anil M. Tuladhar may publish in the future.

Co-authorship network of co-authors of Anil M. Tuladhar

This figure shows the co-authorship network connecting the top 25 collaborators of Anil M. Tuladhar. A scholar is included among the top collaborators of Anil M. Tuladhar 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 Anil M. Tuladhar. Anil M. Tuladhar 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
2.
He, Chentao, Rui Yang, Piao Zhang, et al.. (2024). Temporal evolution of microstructural integrity in cerebellar peduncles in Parkinson’s disease: Stage-specific patterns and dopaminergic correlates. NeuroImage Clinical. 44. 103679–103679. 2 indexed citations
3.
Li, Rui, Eric L. Harshfield, Steven Bell, et al.. (2024). Predicting Incident Dementia in Cerebral Small Vessel Disease: Comparison of Machine Learning and Traditional Statistical Models. SHILAP Revista de lepidopterología. 6. 100235–100235.
4.
Roest, Mark, Bas de Laat, Marleen M. H. J. van Gelder, et al.. (2024). Low thrombin inactivation capacity is associated with an increased risk of recurrent ischemic events after ischemic stroke at a young age. Journal of Thrombosis and Haemostasis. 23(3). 978–988.
5.
Li, Hao, Mina A. Jacob, Mengfei Cai, et al.. (2024). Meso-cortical pathway damage in cognition, apathy and gait in cerebral small vessel disease. Brain. 147(11). 3804–3816. 6 indexed citations
7.
Meijer, Frederick J. A., Jeroen de Bresser, Jan Willem Dankbaar, et al.. (2024). Prevalence and 3-month follow-up of cerebrovascular MRI markers in hospitalized COVID-19 patients: the CORONIS study. Neuroradiology. 66(9). 1565–1575.
8.
Brown, Robin, et al.. (2023). How often does white matter hyperintensity volume regress in cerebral small vessel disease?. International Journal of Stroke. 18(8). 937–947. 7 indexed citations
9.
Cai, Mengfei, Mina A. Jacob, José P. Marques, et al.. (2023). Structural Network Efficiency Predicts Conversion to Incident Parkinsonism in Patients With Cerebral Small Vessel Disease. The Journals of Gerontology Series A. 79(1). 3 indexed citations
10.
Telgte, Annemieke ter, J. de Jong, José P. Marques, et al.. (2022). The Hyperintense study: Assessing the effects of induced blood pressure increase and decrease on MRI markers of cerebral small vessel disease: Study rationale and protocol. European Stroke Journal. 7(3). 331–338. 2 indexed citations
11.
Harshfield, Eric L., Caroline Sands, Anil M. Tuladhar, et al.. (2022). Metabolomic profiling in small vessel disease identifies multiple associations with disease severity. Brain. 145(7). 2461–2471. 32 indexed citations
12.
Rubiera, Marta, Ana Aires, Kateryna Antonenko, et al.. (2022). European Stroke Organisation (ESO) guideline on screening for subclinical atrial fibrillation after stroke or transient ischaemic attack of undetermined origin. European Stroke Journal. 7(3). CVII–CXXXIX. 60 indexed citations
13.
Dewenter, Anna, Mina A. Jacob, Mengfei Cai, et al.. (2022). Disentangling the effects of Alzheimer’s and small vessel disease on white matter fibre tracts. Brain. 146(2). 678–689. 35 indexed citations
14.
Meijer, Frederick J. A., Jeroen de Bresser, Jan Willem Dankbaar, et al.. (2022). Prevalence, risk factors, and long-term outcomes of cerebral ischemia in hospitalized COVID-19 patients – study rationale and protocol of the CORONIS study: A multicentre prospective cohort study. European Stroke Journal. 7(2). 180–187. 5 indexed citations
15.
Jacob, Mina A., Mengfei Cai, Annemieke ter Telgte, et al.. (2022). Role of small acute hyperintense lesions in long-term progression of cerebral small vessel disease and clinical outcome: a 14-year follow-up study. Journal of Neurology Neurosurgery & Psychiatry. 94(2). 144–144. 5 indexed citations
16.
Sierpowska, Joanna, Andrew Reid, Anil M. Tuladhar, et al.. (2020). White matter hyperintensities at critical crossroads for executive function and verbal abilities in small vessel disease. Human Brain Mapping. 42(4). 993–1002. 21 indexed citations
17.
Telgte, Annemieke ter, Kim Wiegertjes, Benno Gesierich, et al.. (2019). The contribution of acute infarcts to cerebral small vessel disease progression. Annals of Neurology. 86(4). 582–592. 28 indexed citations
18.
Bergkamp, Mayra I., Esther M.C. van Leijsen, Mohsen Ghafoorian, et al.. (2018). Risk of Nursing Home Admission in Cerebral Small Vessel Disease. Stroke. 49(11). 2659–2665. 4 indexed citations
19.
Meijer, Frederick J. A., Anouke van Rumund, Anil M. Tuladhar, et al.. (2015). Conventional 3T brain MRI and diffusion tensor imaging in the diagnostic workup of early stage parkinsonism. Neuroradiology. 57(7). 655–669. 31 indexed citations
20.
Tuladhar, Anil M., Niels ter Huurne, Jan‐Mathijs Schoffelen, et al.. (2007). Parieto‐occipital sources account for the increase in alpha activity with working memory load. Human Brain Mapping. 28(8). 785–792. 281 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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