Ashraf U. Mannan

1.1k total citations
32 papers, 630 citations indexed

About

Ashraf U. Mannan is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Ashraf U. Mannan has authored 32 papers receiving a total of 630 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 12 papers in Genetics and 10 papers in Cellular and Molecular Neuroscience. Recurrent topics in Ashraf U. Mannan's work include Hereditary Neurological Disorders (8 papers), Genomics and Rare Diseases (5 papers) and Genetics and Neurodevelopmental Disorders (5 papers). Ashraf U. Mannan is often cited by papers focused on Hereditary Neurological Disorders (8 papers), Genomics and Rare Diseases (5 papers) and Genetics and Neurodevelopmental Disorders (5 papers). Ashraf U. Mannan collaborates with scholars based in India, Germany and Austria. Ashraf U. Mannan's co-authors include Wolfgang Engel, Simone M. Sauter, Jürgen Neesen, Moneef Shoukier, Walter Paulus, Karim Nayernia, Chiranjeevi Bodda, D. V. Krishna Pantakani, Ibrahim M. Adham and Thomas Langer and has published in prestigious journals such as PLoS ONE, Journal of Neurochemistry and The American Journal of Human Genetics.

In The Last Decade

Ashraf U. Mannan

30 papers receiving 628 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ashraf U. Mannan India 16 273 242 141 131 129 32 630
Ercan Demir Türkiye 11 368 1.3× 237 1.0× 212 1.5× 65 0.5× 117 0.9× 24 732
Thalia Antoniadi Greece 16 327 1.2× 217 0.9× 106 0.8× 155 1.2× 145 1.1× 28 850
Patricia Páez Spain 14 349 1.3× 620 2.6× 74 0.5× 137 1.0× 153 1.2× 25 1.1k
Friedmar R. Kreuz Germany 17 498 1.8× 441 1.8× 99 0.7× 197 1.5× 211 1.6× 30 923
Andrée Robaglia‐Schlupp France 16 399 1.5× 419 1.7× 84 0.6× 140 1.1× 97 0.8× 30 1.0k
Rebecca Buchert Germany 13 333 1.2× 136 0.6× 139 1.0× 154 1.2× 68 0.5× 26 645
Q. Richard Lu China 8 522 1.9× 127 0.5× 86 0.6× 112 0.9× 60 0.5× 10 806
Veerle Van Gerwen Belgium 11 265 1.0× 413 1.7× 252 1.8× 64 0.5× 158 1.2× 18 884
Seonhee Kim United States 7 468 1.7× 310 1.3× 106 0.8× 171 1.3× 75 0.6× 8 849
Emanuela Leonardi Italy 20 461 1.7× 111 0.5× 73 0.5× 125 1.0× 106 0.8× 38 850

Countries citing papers authored by Ashraf U. Mannan

Since Specialization
Citations

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

Fields of papers citing papers by Ashraf U. Mannan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ashraf U. Mannan. 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 Ashraf U. Mannan. The network helps show where Ashraf U. Mannan may publish in the future.

Co-authorship network of co-authors of Ashraf U. Mannan

This figure shows the co-authorship network connecting the top 25 collaborators of Ashraf U. Mannan. A scholar is included among the top collaborators of Ashraf U. Mannan 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 Ashraf U. Mannan. Ashraf U. Mannan 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.
Mahadevan, Jayant, Reeteka Sud, Ravi Kumar Nadella, et al.. (2021). Targeted Sequencing Detects Variants That May Contribute to the Risk of Neuropsychiatric Disorders. Indian Journal of Psychological Medicine. 44(5). 516–522. 1 indexed citations
2.
Menon, Ramshekhar N., Amy McTague, Ashalatha Radhakrishnan, et al.. (2020). Genotype-phenotype correlates of infantile-onset developmental & epileptic encephalopathy syndromes in South India: A single centre experience. Epilepsy Research. 166. 106398–106398. 24 indexed citations
3.
Mannan, Ashraf U., et al.. (2020). Lipoprotein Lipase Deficiency. The Indian Journal of Pediatrics. 88(2). 147–153. 6 indexed citations
4.
Devi, Akella Radha Rama, et al.. (2019). 1q42.12q42.2 Deletion in a Child with Midline Defects and Hypoplasia of the Corpus Callosum. Molecular Syndromology. 10(3). 161–166. 1 indexed citations
6.
Krishnan, Shuba, et al.. (2018). Genetic variants in post myocardial infarction patients presenting with electrical storm of unstable ventricular tachycardia. Indian Pacing and Electrophysiology Journal. 18(3). 91–94. 4 indexed citations
7.
Mannan, Ashraf U., et al.. (2017). Clinical and genetic analysis of Indian patients with NDP-related retinopathies. International Ophthalmology. 38(3). 1251–1260. 4 indexed citations
8.
Tantra, Martesa, Christian Hammer, Anne Kästner, et al.. (2014). Mild expression differences of MECP 2 influencing aggressive social behavior. EMBO Molecular Medicine. 6(5). 662–684. 22 indexed citations
9.
Bailey, Karen J., et al.. (2014). Purkinje Cell Compartmentation in the Cerebellum of the Lysosomal Acid Phosphatase 2 Mutant Mouse (Nax - Naked-Ataxia Mutant Mouse). PLoS ONE. 9(4). e94327–e94327. 21 indexed citations
10.
Bodda, Chiranjeevi, Martesa Tantra, Franco Laccone, et al.. (2013). Mild Overexpression of Mecp2 in Mice Causes a Higher Susceptibility toward Seizures. American Journal Of Pathology. 183(1). 195–210. 33 indexed citations
11.
Pantakani, D. V. Krishna, et al.. (2011). Oligomerization of ZFYVE27 (Protrudin) Is Necessary to Promote Neurite Extension. PLoS ONE. 6(12). e29584–e29584. 18 indexed citations
12.
Shoukier, Moneef, et al.. (2008). Expansion of mutation spectrum, determination of mutation cluster regions and predictive structural classification of SPAST mutations in hereditary spastic paraplegia. European Journal of Human Genetics. 17(2). 187–194. 67 indexed citations
13.
Mannan, Ashraf U.. (2008). Response to Martignoni et al.. The American Journal of Human Genetics. 83(1). 128–130. 2 indexed citations
14.
Pantakani, D. V. Krishna, Lakshmipuram S. Swapna, Narayanaswamy Srinivasan, & Ashraf U. Mannan. (2008). Spastin oligomerizes into a hexamer and the mutant spastin (E442Q) redistribute the wild‐type spastin into filamentous microtubule. Journal of Neurochemistry. 106(2). 613–624. 19 indexed citations
15.
Böhm, Johann, Wiktor Borozdin, Ashraf U. Mannan, et al.. (2008). Sall1, Sall2, and Sall4 Are Required for Neural Tube Closure in Mice. American Journal Of Pathology. 173(5). 1455–1463. 51 indexed citations
16.
Mannan, Ashraf U., et al.. (2006). ZFYVE27 (SPG33), a Novel Spastin-Binding Protein, Is Mutated in Hereditary Spastic Paraplegia. The American Journal of Human Genetics. 79(2). 351–357. 107 indexed citations
17.
18.
Mannan, Ashraf U., Cornelia Kraus, Karim Nayernia, et al.. (2004). Mutation in the gene encoding lysosomal acid phosphatase (Acp2) causes cerebellum and skin malformation in mouse. Neurogenetics. 5(4). 229–238. 35 indexed citations
19.
Mannan, Ashraf U., Gabriela Nica, Karim Nayernia, Christian Mueller, & Wolfgang Engel. (2003). Calgizarrin like gene (Cal) deficient mice undergo normal spermatogenesis. Molecular Reproduction and Development. 66(4). 431–438. 12 indexed citations
20.
Mannan, Ashraf U., Karim Nayernia, Christian Mueller, et al.. (2003). Male Mice Lacking the Theg (Testicular Haploid Expressed Gene) Protein Undergo Normal Spermatogenesis and Are Fertile1. Biology of Reproduction. 69(3). 788–796. 21 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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