Ton Fang

21 total papers · 775 total citations
16 papers, 517 citations indexed

About

Ton Fang is a scholar working on Neurology, Genetics and Neurology. According to data from OpenAlex, Ton Fang has authored 16 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Neurology, 7 papers in Genetics and 4 papers in Neurology. Recurrent topics in Ton Fang's work include Amyotrophic Lateral Sclerosis Research (10 papers), Neurogenetic and Muscular Disorders Research (7 papers) and Intracerebral and Subarachnoid Hemorrhage Research (2 papers). Ton Fang is often cited by papers focused on Amyotrophic Lateral Sclerosis Research (10 papers), Neurogenetic and Muscular Disorders Research (7 papers) and Intracerebral and Subarachnoid Hemorrhage Research (2 papers). Ton Fang collaborates with scholars based in United Kingdom, United States and Kenya. Ton Fang's co-authors include Ammar Al‐Chalabi, Ahmad Al Khleifat, P. Nigel Leigh, Ashley Jones, Gilbert Bensimon, Sabrina Paganoni, James D. Berry, Fabiola De Marchi, Donatienne Van Weehaeghe and Kiandokht Keyhanian and has published in prestigious journals such as Current Biology, The Lancet Neurology and Medicine.

In The Last Decade

Ton Fang

14 papers receiving 506 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Ton Fang	375	205	141	81	72	16	517
Reshma Punjani	454 1.2×	235 1.1×	146 1.0×	64 0.8×	39 0.5×	13	604
Karissa Arthur	316 0.8×	169 0.8×	128 0.9×	108 1.3×	98 1.4×	9	454
Mónica Povedano	355 0.9×	145 0.7×	184 1.3×	69 0.9×	143 2.0×	16	601
Keigo Nobukuni	283 0.8×	117 0.6×	154 1.1×	101 1.2×	91 1.3×	23	511
Meinie Seelen	403 1.1×	193 0.9×	90 0.6×	63 0.8×	74 1.0×	12	475
Jonathan Hupf	332 0.9×	150 0.7×	134 1.0×	58 0.7×	65 0.9×	17	477
Hannu Laaksovirta	267 0.7×	181 0.9×	111 0.8×	116 1.4×	43 0.6×	17	468
Anne‐Marie Wills	441 1.2×	187 0.9×	80 0.6×	67 0.8×	80 1.1×	17	557
Daud Lodin	304 0.8×	141 0.7×	140 1.0×	62 0.8×	69 1.0×	9	507
Laura Peotta	415 1.1×	199 1.0×	67 0.5×	50 0.6×	109 1.5×	19	450

Countries citing papers authored by Ton Fang

Since Specialization

Citations

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

Fields of papers citing papers by Ton Fang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ton Fang

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

All Works

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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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