Mayumi Nakano

1.2k citations
14 papers · 639 indexed · h-index 10
Topics
Plant Molecular Biology Research (6 papers)RNA modifications and cancer (4 papers)Chromosomal and Genetic Variations (4 papers)
Partner nations
United StatesJapanChina

In The Last Decade

Mayumi Nakano

13 papers receiving 629 citations

Peers

Mayumi Nakano
Comparison fields: 5 of 72
  • Plant Science 438
  • Molecular Biology 293
  • Immunology 95
  • Cancer Research 45
  • Endocrinology 38
Replace Adriana Cabral with:
Adriana Cabral Netherlands
Marie-Christine Jacquemot-Perbal Germany
Christina Lawrence United States
Rui-Rui He China
Shailender Kumar India
LeeAnn Ramsay Canada
Juan L. Trincado Spain
Changwang Deng United States
Ying Fu China
Catherine A. Dunn Canada
Mayumi Nakano relative to Adriana Cabral Netherlands Adriana Cabral's profile →
Citations per field
00.5×4.2×
Adriana Cabral · 1×
Citations per year

Countries citing papers authored by Mayumi Nakano

Since Specialization
Citations

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

Fields of papers citing papers by Mayumi Nakano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mayumi Nakano

This figure shows the co-authorship network connecting the top 25 collaborators of Mayumi Nakano. A scholar is included among the top collaborators of Mayumi Nakano 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 Nakano. Mayumi Nakano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 11
2 49
3 18
4 38
5 15
6 58
7 20
8 253
9 134
10 32
11 4
12
[Male infertility with chromosomal abnormalities. III. 46, XYq-].
2
13
Progestin receptors in testes from various animal species.
5
14
A study on basal metabolism of premature infants. 1. Observations on healthy premature infants.
0

About Mayumi Nakano

Mayumi Nakano is a scholar working on Endocrinology, Plant Science and Clinical Biochemistry, having authored 14 papers that have together received 639 indexed citations. Recurring topics across this work include Plant Molecular Biology Research (6 papers), RNA modifications and cancer (4 papers) and Chromosomal and Genetic Variations (4 papers). The work is most often cited by research in Plant Science (438 citations), Endocrinology (38 citations) and Immunology (95 citations). Mayumi Nakano has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Blake C. Meyers, Bin Liu, Pingchuan Li, Jixian Zhai, Xianwei Song, Chunyan Liu, Xiaofeng Cao, Ming Zhou, Dong‐Hoon Jeong and Chengcai Chu. Their work appears in journals such as Nucleic Acids Research, Bioinformatics and The Journal of Immunology.

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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