Mayumi Sako

2.5k citations
58 papers · 1.6k · h-index 21

Impact in

  • Nephrology top 0.2%
    • Renal Diseases and Glomerulopathies
    • Chronic Kidney Disease and Diabetes
  • Genetics top 5%
    • Coagulation, Bradykinin, Polyphosphates, and Angioedema
    • Chronic Lymphocytic Leukemia Research

Papers in

Mayumi Sako

55 papers receiving 1.5k citations

Peers

Mayumi Sako
Comparison fields: 5 of 73
  • Nephrology 1.3k
  • Genetics 191
  • Pathology and Forensic Medicine 304
  • Hematology 180
  • Transplantation 24
Replace Tim Ulinski with:
Tim Ulinski France
Chee Kay Cheung United Kingdom
Cristiana Rollino Italy
Susan Y. Woodford United States
Patrizia Passerini Italy
Antonella Trivelli Italy
Alberto Magnasco Italy
Kenneth V. Lieberman United States
Jordan L. Rosenstock United States
Shayna Sarosiek United States
Mayumi Sako relative to Tim Ulinski France Tim Ulinski's profile →
Citations per field
00.5×
Tim Ulinski · 1×
Citations per year

Countries citing papers authored by Mayumi Sako

Since Specialization
Citations

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

Fields of papers citing papers by Mayumi Sako

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mayumi Sako, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mayumi Sako Line = papers co-authored together Mayumi Sako links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014301
2 2009133
3 201480
4 200776
5 201175
6 201665
7 200562
8 201157
9 201256
10 201542
11 201840
12 201236
13 200836
14 201734
15 201529
16 201528
17 201726
18 201425
19 200824
20 200823

About Mayumi Sako

Mayumi Sako is a scholar working on Nephrology, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine, Hematology and Surgery, having authored 58 papers that have together received 1.6k indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (39 papers), Autoimmune Bullous Skin Diseases (5 papers), Platelet Disorders and Treatments (5 papers), Vasculitis and related conditions (4 papers), Systemic Lupus Erythematosus Research (3 papers), Chronic Kidney Disease and Diabetes (2 papers), Pregnancy and Medication Impact (2 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers). The work is most often cited by research in Nephrology (1.3k citations), Genetics (191 citations), Pathology and Forensic Medicine (304 citations), Hematology (180 citations) and Transplantation (24 citations). Mayumi Sako has collaborated with scholars based in Japan and United States. Frequent co-authors include Kazumoto Iijima, Kandai Nozu, Koichi Kamei, Koichi Nakanishi, Shuichi Ito, Kenji Ishikura, Norishige Yoshikawa, Ryojiro Tanaka, Hiroshi Kaito and Hidefumi Nakamura. Their work appears in journals such as Pediatric Nephrology, Clinical Journal of the American Society of Nephrology, BMC Nephrology, Kidney International and European Journal of Pediatrics.

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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