Midori Saito

507 citations
16 papers · 436 indexed · h-index 11
Topics
Acute Myeloid Leukemia Research (7 papers)Acute Lymphoblastic Leukemia research (7 papers)Cancer-related Molecular Pathways (4 papers)
Partner nations
JapanUnited States

In The Last Decade

Midori Saito

16 papers receiving 423 citations

Peers

Midori Saito
Comparison fields: 5 of 55
  • Molecular Biology 244
  • Oncology 180
  • Hematology 110
  • Genetics 68
  • Public Health, Environmental and Occupational Health 50
Replace Etsuko Shima with:
Etsuko Shima Japan
LC Bowman United States
N Bown United Kingdom
Chen Shochat Israel
Margaret Garson Australia
Frank El Ouriaghli United States
Massimiliano De Bortoli Italy
E. L. Prigogina United States
H Fukutani Japan
Y Shabo Israel
Midori Saito relative to Etsuko Shima Japan Etsuko Shima's profile →
Citations per field
00.5×
Etsuko Shima · 1×
Citations per year

Countries citing papers authored by Midori Saito

Since Specialization
Citations

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

Fields of papers citing papers by Midori Saito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Midori Saito

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1
Re-evaluation of body weight as an indicator for contrast material dosage for indirect CT venography.
1
2 14
3
Visualization of azygos arch valves using computed tomography: comparison of scanning delay times.
3
4 30
5 57
6 11
7 71
8 25
9 6
10 135
11 15
12
[Clinical and cytological features of CD7 positive biphenotypic leukemias].
1
13 7
14 11
15 38
16 11

About Midori Saito

Midori Saito is a scholar working on Hematology, Genetics and Internal Medicine, having authored 16 papers that have together received 436 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (7 papers), Acute Lymphoblastic Leukemia research (7 papers) and Cancer-related Molecular Pathways (4 papers). The work is most often cited by research in Hematology (110 citations), Oncology (180 citations) and Genetics (43 citations). Midori Saito has collaborated with scholars based in Japan and United States. Frequent co-authors include Kristian Helin, A. Thomas Look, Marcus B. Valentine, Marcus Valentine, Jacqueline A. Lees, Nicholas J. Dyson, Marc Vidal, Ed Harlow, Thomas Look and Shinpei Nakazawa. Their work appears in journals such as Molecular and Cellular Biology, Cancer and British Journal of Haematology.

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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