Ivan Milanov

5.3k total citations · 2 hit papers
93 papers, 2.2k citations indexed

About

Ivan Milanov is a scholar working on Neurology, Psychiatry and Mental health and Cellular and Molecular Neuroscience. According to data from OpenAlex, Ivan Milanov has authored 93 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Neurology, 26 papers in Psychiatry and Mental health and 22 papers in Cellular and Molecular Neuroscience. Recurrent topics in Ivan Milanov's work include Neurological disorders and treatments (33 papers), Botulinum Toxin and Related Neurological Disorders (16 papers) and Parkinson's Disease Mechanisms and Treatments (14 papers). Ivan Milanov is often cited by papers focused on Neurological disorders and treatments (33 papers), Botulinum Toxin and Related Neurological Disorders (16 papers) and Parkinson's Disease Mechanisms and Treatments (14 papers). Ivan Milanov collaborates with scholars based in Bulgaria, Italy and Germany. Ivan Milanov's co-authors include Giuseppe Nappi, Giorgio Sandrini, Giulio Rosati, Maura Pugliatti, Jelena Drulović, Trond Riise, László Vécsei, H. Carton, A Cecchini and Dejan Georgiev and has published in prestigious journals such as SHILAP Revista de lepidopterología, Stroke and The Lancet Neurology.

In The Last Decade

Ivan Milanov

89 papers receiving 2.1k citations

Hit Papers

The epidemiology of multiple sclerosis in Europe 2006 2026 2012 2019 2006 2019 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ivan Milanov Bulgaria 23 723 651 650 409 365 93 2.2k
Paolo Aridon Italy 29 998 1.4× 967 1.5× 619 1.0× 473 1.2× 359 1.0× 72 3.0k
Letizia Maria Cupini Italy 31 1.1k 1.5× 472 0.7× 511 0.8× 260 0.6× 542 1.5× 58 2.6k
Martin Marziniak Germany 32 1.2k 1.6× 525 0.8× 934 1.4× 461 1.1× 1.4k 3.9× 85 3.7k
Rita Christopher India 28 281 0.4× 435 0.7× 224 0.3× 359 0.9× 316 0.9× 181 2.9k
Sámuel Komoly Hungary 34 441 0.6× 1.5k 2.2× 1.1k 1.7× 471 1.2× 320 0.9× 146 4.0k
Giuseppe Cazzato Italy 35 809 1.1× 982 1.5× 1.4k 2.1× 187 0.5× 380 1.0× 83 3.3k
Eric Yuen United States 29 888 1.2× 496 0.8× 186 0.3× 805 2.0× 523 1.4× 55 2.9k
Jan Versijpt Belgium 28 991 1.4× 333 0.5× 525 0.8× 347 0.8× 520 1.4× 78 2.5k
Alfonso Iudice Italy 24 870 1.2× 337 0.5× 303 0.5× 465 1.1× 159 0.4× 77 2.1k
Yair Lampl Israel 29 572 0.8× 868 1.3× 133 0.2× 515 1.3× 326 0.9× 83 2.8k

Countries citing papers authored by Ivan Milanov

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Milanov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivan Milanov

This figure shows the co-authorship network connecting the top 25 collaborators of Ivan Milanov. A scholar is included among the top collaborators of Ivan Milanov 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 Ivan Milanov. Ivan Milanov 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.
Weiß, Daniel, Wolfgang H. Jost, József Attila Szász, et al.. (2025). Levodopa–Entacapone–Carbidopa Intrajejunal Infusion in Advanced Parkinson's Disease – Interim Analysis of the ELEGANCE Study. Movement Disorders Clinical Practice. 12(8). 1075–1085. 5 indexed citations
2.
Todinova, Svetla, et al.. (2023). Thermodynamic Signatures of Blood Plasma Proteome in Neurodegenerative Pathologies. International Journal of Molecular Sciences. 24(1). 789–789. 2 indexed citations
3.
Milanov, Ivan, et al.. (2023). Clinical profile of levodopa-carbidopa-entacapone intestinal gel infusion in patients with advanced Parkinson’s disease. SHILAP Revista de lepidopterología. 65(6). 929–932. 3 indexed citations
4.
Strijkova, Velichka, et al.. (2022). Platelets’ Nanomechanics and Morphology in Neurodegenerative Pathologies. Biomedicines. 10(9). 2239–2239. 8 indexed citations
5.
Strijkova, Velichka, Svetla Todinova, Tonya Andreeva, et al.. (2021). Morphometry and Stiffness of Red Blood Cells—Signatures of Neurodegenerative Diseases and Aging. International Journal of Molecular Sciences. 23(1). 227–227. 23 indexed citations
6.
Todinova, Svetla, et al.. (2021). Red Blood Cells’ Thermodynamic Behavior in Neurodegenerative Pathologies and Aging. Biomolecules. 11(10). 1500–1500. 8 indexed citations
7.
Pirtošek, Zvezdan, Ovidiu Băjenaru, Norbert Kovács, et al.. (2020). Update on the Management of Parkinson’s Disease for General Neurologists. Parkinson s Disease. 2020. 1–13. 46 indexed citations
8.
Krauss, Gregory L., Pavel Klein, Christian Brandt, et al.. (2019). Safety and efficacy of adjunctive cenobamate (YKP3089) in patients with uncontrolled focal seizures: a multicentre, double-blind, randomised, placebo-controlled, dose-response trial. The Lancet Neurology. 19(1). 38–48. 234 indexed citations breakdown →
9.
Milanov, Ivan, et al.. (2018). Muscle spasticity and the effects of repetitive Transcranial Magnetic Stimulation in patients with Multiple Sclerosis. SHURA (Sheffield Hallam University Research Archive) (Sheffield Hallam University). 1 indexed citations
10.
Winblad, Bengt, M. Fioravanti, Tomáš Doležal, et al.. (2008). Therapeutic Use of Nicergoline. Clinical Drug Investigation. 28(9). 533–552. 79 indexed citations
11.
Pugliatti, Maura, Giulio Rosati, H. Carton, et al.. (2006). The epidemiology of multiple sclerosis in Europe. European Journal of Neurology. 13(7). 700–722. 473 indexed citations breakdown →
12.
Dimova, Petia, et al.. (2005). Acute reversible parkinsonism in Epstein–Bbarr virus–related encephalitis lethargica‐like illness. Movement Disorders. 21(4). 564–566. 13 indexed citations
13.
Rоusseff, Rossen T., et al.. (2003). Lower limb SSEP changes in stroke—predictive values regarding functional recovery. Clinical Neurology and Neurosurgery. 105(2). 121–127. 15 indexed citations
14.
Milanov, Ivan. (2001). Motoneuron activity in patients with different types of tremor.. PubMed. 41(8). 479–84. 7 indexed citations
15.
Milanov, Ivan, et al.. (2001). Antiphospholipid syndrome and dystonia–parkinsonism. A case report. Parkinsonism & Related Disorders. 7(2). 139–141. 26 indexed citations
16.
Sandrini, Giorgio, Ivan Milanov, Bruno Rossi, et al.. (2001). Effects of Sleep on Spinal Nociceptive Reflexes in Humans. SLEEP. 24(1). 13–17. 32 indexed citations
17.
Milanov, Ivan. (2000). Clinical and electromyographic examinations of Parkinsonian tremor. Parkinsonism & Related Disorders. 6(4). 229–235. 17 indexed citations
18.
Milanov, Ivan. (2000). Clinical and Electromyographic Examinations of Patients with Essential Tremor. Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques. 27(1). 65–70. 13 indexed citations
19.
Milanov, Ivan, et al.. (1999). Prevalence of Multiple Sclerosis in Gypsies and Bulgarians. Neuroepidemiology. 18(4). 218–222. 20 indexed citations
20.
Milanov, Ivan, et al.. (1997). Differential diagnosis of scapuloperoneal syndrome.. PubMed. 37(2). 73–8.

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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