Mai Iwaya

126 total papers · 492 total citations
64 papers, 302 citations indexed

About

Mai Iwaya is a scholar working on Surgery, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Mai Iwaya has authored 64 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Surgery, 21 papers in Oncology and 19 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Mai Iwaya's work include Genetic factors in colorectal cancer (10 papers), Cancer Cells and Metastasis (10 papers) and Metastasis and carcinoma case studies (9 papers). Mai Iwaya is often cited by papers focused on Genetic factors in colorectal cancer (10 papers), Cancer Cells and Metastasis (10 papers) and Metastasis and carcinoma case studies (9 papers). Mai Iwaya collaborates with scholars based in Japan, Canada and United States. Mai Iwaya's co-authors include Takeshi Uehara, Hiroyoshi Ota, Tomoyuki Nakajima, Yugo Iwaya, Tadanobu Nagaya, Takeji Umemura, Yoko Tateishi, Yukihiro Kobayashi, Robert H. Riddell and Akihiko Yoshizawa and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Mai Iwaya

58 papers receiving 297 citations

Author Peers

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

Author						Papers	Cites
Mai Iwaya	118	83	77	59	57	64	302
Yumi Miyai	90 0.8×	122 1.5×	72 0.9×	37 0.6×	46 0.8×	34	283
Hugo Galera‐Ruiz	67 0.6×	90 1.1×	44 0.6×	66 1.1×	19 0.3×	37	295
Eszter Székely	94 0.8×	100 1.2×	102 1.3×	76 1.3×	19 0.3×	36	329
Yoshinori TAKEKAWA	79 0.7×	66 0.8×	67 0.9×	70 1.2×	17 0.3×	44	340
Christina Nikolaidou	58 0.5×	99 1.2×	55 0.7×	72 1.2×	34 0.6×	47	319
T Gierek	67 0.6×	92 1.1×	34 0.4×	97 1.6×	18 0.3×	84	314
Luisa Santoro	121 1.0×	92 1.1×	85 1.1×	47 0.8×	42 0.7×	32	342
Iryna Samarska	116 1.0×	56 0.7×	56 0.7×	76 1.3×	32 0.6×	40	303
Nae Yu Kim	97 0.8×	68 0.8×	93 1.2×	69 1.2×	19 0.3×	42	283
Norio Takayashiki	79 0.7×	112 1.3×	62 0.8×	128 2.2×	39 0.7×	41	332

Countries citing papers authored by Mai Iwaya

Since Specialization

Citations

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

Fields of papers citing papers by Mai Iwaya

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mai Iwaya

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