Fu Namai

54 total papers · 435 total citations
40 papers, 287 citations indexed

About

Fu Namai is a scholar working on Food Science, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Fu Namai has authored 40 papers receiving a total of 287 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Food Science, 16 papers in Molecular Biology and 9 papers in Infectious Diseases. Recurrent topics in Fu Namai's work include Probiotics and Fermented Foods (18 papers), Gut microbiota and health (14 papers) and Immune Response and Inflammation (7 papers). Fu Namai is often cited by papers focused on Probiotics and Fermented Foods (18 papers), Gut microbiota and health (14 papers) and Immune Response and Inflammation (7 papers). Fu Namai collaborates with scholars based in Japan, Argentina and Bangladesh. Fu Namai's co-authors include Takeshi Shimosato, Takashi Sato, Tasuku Ogita, Suguru Shigemori, Yoshinari Yamamoto, Haruki Kitazawa, Keita Nishiyama, Julio Villena, Yoshihito Suda and Kazutoyo Yoda and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied and Environmental Microbiology and International Journal of Molecular Sciences.

In The Last Decade

Fu Namai

33 papers receiving 285 citations

Author Peers

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

Author						Papers	Cites
Fu Namai	142	94	52	42	38	40	287
Е. И. Ермоленко	193 1.4×	101 1.1×	59 1.1×	38 0.9×	33 0.9×	56	285
L Pesti	173 1.2×	101 1.1×	65 1.3×	46 1.1×	42 1.1×	17	330
Sarah E. Woodward	174 1.2×	59 0.6×	77 1.5×	37 0.9×	51 1.3×	19	322
Timur Vakhitov	143 1.0×	70 0.7×	29 0.6×	29 0.7×	38 1.0×	36	246
Souleymane Brah	174 1.2×	51 0.5×	54 1.0×	36 0.9×	44 1.2×	43	313
Janiece Glover	198 1.4×	55 0.6×	28 0.5×	44 1.0×	38 1.0×	19	288
Korin Eckstrom	150 1.1×	44 0.5×	56 1.1×	40 1.0×	21 0.6×	22	306
Abdulhadi Suwandi	138 1.0×	68 0.7×	61 1.2×	34 0.8×	21 0.6×	23	303
Zheng Zhou	104 0.7×	50 0.5×	69 1.3×	30 0.7×	14 0.4×	21	269
О. С. Шифрин	147 1.0×	69 0.7×	63 1.2×	35 0.8×	31 0.8×	34	319

Countries citing papers authored by Fu Namai

Since Specialization

Citations

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

Fields of papers citing papers by Fu Namai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fu Namai

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