Takeshi Suma

67 total papers · 885 total citations
44 papers, 666 citations indexed

About

Takeshi Suma is a scholar working on Infectious Diseases, Neurology and Parasitology. According to data from OpenAlex, Takeshi Suma has authored 44 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Infectious Diseases, 17 papers in Neurology and 11 papers in Parasitology. Recurrent topics in Takeshi Suma's work include Parasitic Diseases Research and Treatment (17 papers), Parasites and Host Interactions (11 papers) and Intracranial Aneurysms: Treatment and Complications (10 papers). Takeshi Suma is often cited by papers focused on Parasitic Diseases Research and Treatment (17 papers), Parasites and Host Interactions (11 papers) and Intracranial Aneurysms: Treatment and Complications (10 papers). Takeshi Suma collaborates with scholars based in Japan, India and United States. Takeshi Suma's co-authors include R. K. Shenoy, V. Kumaraswami, Yoichi Katayama, Morimichi Koshinaga, Masamichi Fukushima, Anil John, Hideki Oshima, Rahmah Noordin, S. Padma and C. Ramesh and has published in prestigious journals such as BMJ, Neuroreport and Journal of Neurotrauma.

In The Last Decade

Takeshi Suma

39 papers receiving 631 citations

Author Peers

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

Author						Papers	Cites
Takeshi Suma	406	224	125	108	107	44	666
Ting Wang	311 0.8×	68 0.3×	58 0.5×	45 0.4×	32 0.3×	58	784
A Vejjajiva	124 0.3×	91 0.4×	20 0.2×	78 0.7×	116 1.1×	39	728
Justin Komguep Nono	73 0.2×	330 1.5×	22 0.2×	92 0.9×	125 1.2×	27	651
Suthipun Jitpimolmard	69 0.2×	67 0.3×	27 0.2×	24 0.2×	163 1.5×	45	701
William H. Dietz	80 0.2×	31 0.1×	84 0.7×	217 2.0×	32 0.3×	19	610
Íñigo Corral	267 0.7×	25 0.1×	122 1.0×	46 0.4×	11 0.1×	55	779
Frédérick Gay	44 0.1×	43 0.2×	49 0.4×	78 0.7×	28 0.3×	25	609
A. L. Woolf	36 0.1×	69 0.3×	46 0.4×	24 0.2×	21 0.2×	42	696
Kannan Venugopal	36 0.1×	112 0.5×	89 0.7×	149 1.4×	8 0.1×	29	578
Jerry M.E. Kovoor	135 0.3×	101 0.5×	21 0.2×	79 0.7×	79 0.7×	46	787

Countries citing papers authored by Takeshi Suma

Since Specialization

Citations

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

Fields of papers citing papers by Takeshi Suma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takeshi Suma

This figure shows the co-authorship network connecting the top 25 collaborators of Takeshi Suma. A scholar is included among the top collaborators of Takeshi Suma 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 Takeshi Suma. Takeshi Suma 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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