M Chiba

39 total papers · 434 total citations
25 papers, 350 citations indexed

About

M Chiba is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Epidemiology. According to data from OpenAlex, M Chiba has authored 25 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Pulmonary and Respiratory Medicine, 6 papers in Molecular Biology and 5 papers in Epidemiology. Recurrent topics in M Chiba's work include Cerebrovascular and Carotid Artery Diseases (5 papers), Acute Ischemic Stroke Management (3 papers) and Intracerebral and Subarachnoid Hemorrhage Research (2 papers). M Chiba is often cited by papers focused on Cerebrovascular and Carotid Artery Diseases (5 papers), Acute Ischemic Stroke Management (3 papers) and Intracerebral and Subarachnoid Hemorrhage Research (2 papers). M Chiba collaborates with scholars based in Japan and United States. M Chiba's co-authors include Kowichi Jimbow, Beatriz Sánchez-Calvo, Edith Speir, Ward Casscells, Michael Klagsbrun, Joachim Sasse, Judah Folkman, L. Häggroth, Paul D. Allen and Takashi Horikoshi and has published in prestigious journals such as Journal of Clinical Investigation, Annals of the New York Academy of Sciences and Cellular and Molecular Life Sciences.

In The Last Decade

M Chiba

24 papers receiving 331 citations

Author Peers

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

Author Last Decade Papers Cites
M Chiba 157 74 62 54 50 25 350
Hitoshi Take 147 0.9× 91 1.2× 15 0.2× 31 0.6× 34 0.7× 26 389
David Scoones 106 0.7× 72 1.0× 17 0.3× 60 1.1× 27 0.5× 20 403
Daichi Hoshina 107 0.7× 51 0.7× 23 0.4× 37 0.7× 111 2.2× 25 395
T Kumamoto 156 1.0× 42 0.6× 37 0.6× 40 0.7× 14 0.3× 24 370
Luis Rohena 191 1.2× 52 0.7× 29 0.5× 38 0.7× 16 0.3× 27 380
Motoki Matsuki 128 0.8× 19 0.3× 88 1.4× 60 1.1× 18 0.4× 30 394
Sara Cazzaniga 173 1.1× 36 0.5× 25 0.4× 64 1.2× 16 0.3× 18 374
Castor Cw 101 0.6× 145 2.0× 14 0.2× 57 1.1× 25 0.5× 21 401
Eulàlia Puigdecanet 175 1.1× 15 0.2× 30 0.5× 34 0.6× 42 0.8× 20 359
Kim K. Creus 190 1.2× 33 0.4× 18 0.3× 28 0.5× 32 0.6× 15 366

Countries citing papers authored by M Chiba

Since Specialization
Citations

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

Fields of papers citing papers by M Chiba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M Chiba

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