M Muramatsu

1.4k total citations
34 papers, 1.1k citations indexed

About

M Muramatsu is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Ecology. According to data from OpenAlex, M Muramatsu has authored 34 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 6 papers in Pathology and Forensic Medicine and 6 papers in Ecology. Recurrent topics in M Muramatsu's work include Genomics and Phylogenetic Studies (6 papers), Microbial Community Ecology and Physiology (6 papers) and Chronic Lymphocytic Leukemia Research (4 papers). M Muramatsu is often cited by papers focused on Genomics and Phylogenetic Studies (6 papers), Microbial Community Ecology and Physiology (6 papers) and Chronic Lymphocytic Leukemia Research (4 papers). M Muramatsu collaborates with scholars based in Japan, Canada and Indonesia. M Muramatsu's co-authors include Satoshi Hanada, Toru Matsui, Naoya Shinzato, Yoichi Kamagata, Yoshio Watanabe, Yuji Sekiguchi, Akiyoshi Ohashi, Hiroyuki Imachi, Hideki Harada and M Okuma and has published in prestigious journals such as Journal of Clinical Oncology, The Journal of Cell Biology and Blood.

In The Last Decade

M Muramatsu

33 papers receiving 1.0k citations

Peers

M Muramatsu
Comparison fields: 5 of 104
  • Molecular Biology 333
  • Ecology 204
  • Oncology 175
  • Pathology and Forensic Medicine 159
  • Genetics 151
Replace Hai Long with:
Hai Long China
Mark R. Schmitt United States
Takayuki Saito Japan
Jun Lü China
Yanmin Li China
Katsuharu Saito Japan
Nobuo Murata Japan
Yu Jing Zhang China
Sabine Klugbauer Germany
Feng Yu China
Hai Long China View profile →
Citations per field, relative to M Muramatsu
M Muramatsu · 1×
Citations per year, relative to M Muramatsu
M Muramatsu · 1×

Countries citing papers authored by M Muramatsu

Since Specialization
Citations

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

Fields of papers citing papers by M Muramatsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M Muramatsu

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 6
3 9
4 103
5 28
6 63
7 83
8 26
9 88
10 13
11 3
12 0
13 108
14 54
15 12
16 41
17
Rearrangement of the BCL6 gene in B-cell lymphoid neoplasms.
18
18 49
19 34
20
Composition of nucleoli isolated from mammalian cells.
10

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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