M Kawade

1.5k citations
30 papers · 1.1k · h-index 13

Impact in

Papers in

M Kawade

25 papers receiving 1.0k citations

Peers

M Kawade
Comparison fields: 5 of 109
  • Computer Vision and Pattern Recognition 329
  • Endocrinology, Diabetes and Metabolism 121
  • Cancer Research 106
  • Surgery 296
  • Cardiology and Cardiovascular Medicine 147
Replace Prabhu Ramamoorthy with:
Prabhu Ramamoorthy United States
Ancong Wu China
Shaoyan Zhang China
Rong Zhu China
Charu Agarwal India
Mayun Chen China
Ruichen Liu China
Koichi Takagi Japan
Liu Li China
Xiaoran Zhang China
M Kawade relative to Prabhu Ramamoorthy United States Prabhu Ramamoorthy's profile →
Citations per field
00.5×4.3×
Prabhu Ramamoorthy · 1×
Citations per year

Countries citing papers authored by M Kawade

Since Specialization
Citations

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

Fields of papers citing papers by M Kawade

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside M Kawade, 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 M Kawade Line = papers co-authored together M Kawade links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989297
2 2008200
3
Antitumor effects of a new polysaccharide-protein complex (ATOM) prepared from Agaricus blazei (Iwade strain 101) "Himematsutake" and its mechanisms in tumor-bearing mice.
1997129
4 199684
5 200464
6 198850
7 200232
8 198526
9 198925
10 200625
11 200220
12
[Free fatty acid].
197218
13 200217
14 198512
15 198711
16 198411
17
An automatic method for determination of alkaline phosphatase in serum using p-nitrophenylphosphate as substrate.
196410
18 19729
19 19958
20 20028

About M Kawade

M Kawade is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Surgery, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism, having authored 30 papers that have together received 1.1k indexed citations. Recurring topics across this work include Face and Expression Recognition (5 papers), Face recognition and analysis (5 papers), Lipoproteins and Cardiovascular Health (5 papers), Cancer, Lipids, and Metabolism (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Congenital Heart Disease Studies (2 papers), Manufacturing Process and Optimization (2 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (329 citations), Endocrinology, Diabetes and Metabolism (121 citations), Cancer Research (106 citations), Surgery (296 citations) and Cardiology and Cardiovascular Medicine (147 citations). M Kawade has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Akira Abe, Kazuhiko Makino, Akio Noma, Shin Maeda, M Seishima, Shihong Lao, Yuan Li, Haizhou Ai, Takayoshi Yamashita and Hideo Ohuchi. Their work appears in journals such as Atherosclerosis, IEEE Transactions on Pattern Analysis and Machine Intelligence, The American Journal of Cardiology, Heart and Circulation Research.

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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