Mayumi Tada

12 total papers · 1.6k total citations
10 papers, 1.3k citations indexed

About

Mayumi Tada is a scholar working on Surgery, Small Animals and Molecular Biology. According to data from OpenAlex, Mayumi Tada has authored 10 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Surgery, 5 papers in Small Animals and 2 papers in Molecular Biology. Recurrent topics in Mayumi Tada's work include Helicobacter pylori-related gastroenterology studies (7 papers), Veterinary medicine and infectious diseases (5 papers) and Microbial Metabolites in Food Biotechnology (2 papers). Mayumi Tada is often cited by papers focused on Helicobacter pylori-related gastroenterology studies (7 papers), Veterinary medicine and infectious diseases (5 papers) and Microbial Metabolites in Food Biotechnology (2 papers). Mayumi Tada collaborates with scholars based in Japan, United States and United Kingdom. Mayumi Tada's co-authors include Masafumi Nαkαo, Takeshi Watanabe, Satoshi Sasaki, Hirofumi Nagai, Haruhiko Yoshida, Shin Maeda, Yasushi Shiratori, Keiji Ogura, Masao Omata and Atsuya Takeuchi and has published in prestigious journals such as The Journal of Experimental Medicine, Gastroenterology and Antimicrobial Agents and Chemotherapy.

In The Last Decade

Mayumi Tada

10 papers receiving 1.3k citations

Hit Papers

Helicobacter pylori infec... 1998 2026 2007 2016 1998 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Mayumi Tada 1.1k 431 381 282 190 10 1.3k
Petra Voland 913 0.9× 680 1.6× 109 0.3× 206 0.7× 235 1.2× 26 1.4k
John Cha 629 0.6× 644 1.5× 95 0.2× 155 0.5× 261 1.4× 28 1.4k
Cesar F. Ortega-Cava 253 0.2× 403 0.9× 64 0.2× 56 0.2× 432 2.3× 19 1.1k
Bijan Ansari 355 0.3× 228 0.5× 149 0.4× 26 0.1× 647 3.4× 16 1.5k
J I Gordon 487 0.5× 273 0.6× 67 0.2× 33 0.1× 967 5.1× 17 1.7k
Stacey N. Harbour 252 0.2× 730 1.7× 67 0.2× 50 0.2× 341 1.8× 20 1.3k
Acacia Lamb 373 0.4× 399 0.9× 76 0.2× 55 0.2× 514 2.7× 12 1.1k
Austin Dohrman 157 0.1× 205 0.5× 296 0.8× 43 0.2× 723 3.8× 13 1.2k
Michal Tomczak 302 0.3× 863 2.0× 93 0.2× 33 0.1× 318 1.7× 15 1.6k
Samuel M. Pope 474 0.5× 779 1.8× 233 0.6× 10 0.0× 248 1.3× 15 1.7k

Countries citing papers authored by Mayumi Tada

Since Specialization
Citations

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

Fields of papers citing papers by Mayumi Tada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mayumi Tada

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