Harutyun Madoev

1.4k total citations
9 papers, 277 citations indexed

About

Harutyun Madoev is a scholar working on Cellular and Molecular Neuroscience, Neurology and Genetics. According to data from OpenAlex, Harutyun Madoev has authored 9 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cellular and Molecular Neuroscience, 5 papers in Neurology and 3 papers in Genetics. Recurrent topics in Harutyun Madoev's work include Genetic Neurodegenerative Diseases (5 papers), Parkinson's Disease Mechanisms and Treatments (4 papers) and Genomics and Rare Diseases (3 papers). Harutyun Madoev is often cited by papers focused on Genetic Neurodegenerative Diseases (5 papers), Parkinson's Disease Mechanisms and Treatments (4 papers) and Genomics and Rare Diseases (3 papers). Harutyun Madoev collaborates with scholars based in Germany, Canada and United States. Harutyun Madoev's co-authors include Christine Klein, Katja Lohmann, Meike Kasten, Connie Marras, Susen Schaake, Sonja Petkovic, Inke R. König, Anne Grünewald, Aloysius Domingo and Joanne Trinh and has published in prestigious journals such as Movement Disorders, Human Mutation and npj Parkinson s Disease.

In The Last Decade

Harutyun Madoev

8 papers receiving 271 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Harutyun Madoev Germany	5	172	91	65	50	46	9	277
Susen Schaake Germany	11	234 1.4×	137 1.5×	115 1.8×	68 1.4×	67 1.5×	22	407
Monica Gagliardi Italy	9	70 0.4×	46 0.5×	99 1.5×	33 0.7×	81 1.8×	33	257
Thomas Fleetwood Italy	5	120 0.7×	50 0.5×	58 0.9×	41 0.8×	23 0.5×	8	278
Anna Sułek Poland	13	95 0.6×	238 2.6×	156 2.4×	101 2.0×	68 1.5×	53	397
Aude Nicolas United States	5	134 0.8×	54 0.6×	94 1.4×	46 0.9×	79 1.7×	6	271
Zhi-hua Yang China	8	99 0.6×	60 0.7×	179 2.8×	45 0.9×	63 1.4×	15	324
Milena Janković Serbia	12	152 0.9×	91 1.0×	106 1.6×	40 0.8×	29 0.6×	37	337
Valerija Dobričić Serbia	11	165 1.0×	163 1.8×	124 1.9×	22 0.4×	45 1.0×	21	296
Karen Grütz Germany	10	140 0.8×	95 1.0×	61 0.9×	19 0.4×	61 1.3×	15	224
F. Hentati Tunisia	9	135 0.8×	51 0.6×	68 1.0×	52 1.0×	20 0.4×	22	254

Countries citing papers authored by Harutyun Madoev

Since Specialization

Citations

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

Fields of papers citing papers by Harutyun Madoev

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Harutyun Madoev

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

All Works

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9 of 9 papers shown

1.

Rossi, Malco, Christopher D. Stephen, Joana Damásio, et al.. (2025). Unravelling the Global Tapestry of Genetic Ataxias: Epidemiology and Genetic Testing Approaches. Movement Disorders. 40(9). 1805–1820.

2.

Lim, Shen‐Yang, et al.. (2025). Updated MDSGene review on the clinical and genetic spectrum of LRRK2 variants in Parkinson´s disease. npj Parkinson s Disease. 11(1). 30–30. 4 indexed citations

3.

Rossi, Malco, Susen Schaake, Tatiana Usnich, et al.. (2025). Classification and Genotype–Phenotype Relationships of GBA1 Variants: MDSGene Systematic Review. Movement Disorders. 40(4). 605–618. 4 indexed citations

4.

Tan, Ai Huey, Paula Saffie Awad, Artur Francisco Schumacher Schuh, et al.. (2024). Global Perspectives on Returning Genetic Research Results in Parkinson Disease. Neurology Genetics. 10(6). e200213–e200213. 1 indexed citations

5.

Lange, Lara M., Johanna Junker, Sebastian Loens, et al.. (2021). Genotype–Phenotype Relations for Isolated Dystonia Genes: MDSGene Systematic Review. Movement Disorders. 36(5). 1086–1103. 69 indexed citations

6.

Balck, Alexander, Susen Schaake, Aloysius Domingo, et al.. (2021). Genotype–Phenotype Relations in Primary Familial Brain Calcification: Systematic MDSGene Review. Movement Disorders. 36(11). 2468–2480. 51 indexed citations

7.

Pauly, Martje G., Ana Westenberger, Gerard Saranza, et al.. (2020). Expanding Data Collection for the MDSGene Database: X‐linked Dystonia‐Parkinsonism as Use Case Example. Movement Disorders. 35(11). 1933–1938. 18 indexed citations

8.

Vulinović, Franca, Torben J. Hausrat, Philip Seibler, et al.. (2018). Motor protein binding and mitochondrial transport are altered by pathogenic TUBB4A variants. Human Mutation. 39(12). 1901–1915. 20 indexed citations

9.

Trinh, Joanne, Meike Kasten, Susen Schaake, et al.. (2018). Genotype‐phenotype relations for the Parkinson's disease genes SNCA, LRRK2, VPS35: MDSGene systematic review. Movement Disorders. 33(12). 1857–1870. 110 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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