Makoto Kawai

3.7k total citations
168 papers, 1.9k citations indexed

About

Makoto Kawai is a scholar working on Cardiology and Cardiovascular Medicine, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Makoto Kawai has authored 168 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Cardiology and Cardiovascular Medicine, 41 papers in Computer Networks and Communications and 28 papers in Electrical and Electronic Engineering. Recurrent topics in Makoto Kawai's work include Heart Failure Treatment and Management (22 papers), Cardiovascular Function and Risk Factors (22 papers) and Satellite Communication Systems (18 papers). Makoto Kawai is often cited by papers focused on Heart Failure Treatment and Management (22 papers), Cardiovascular Function and Risk Factors (22 papers) and Satellite Communication Systems (18 papers). Makoto Kawai collaborates with scholars based in Japan, United States and United Kingdom. Makoto Kawai's co-authors include Hidekatsu Takahashi, Hideyo Yoshida, Teruo Nagaya, Michihiro Yoshimura, Clive H. Orchard, Munir Hussain, Kosuke Minai, Kazuo Ogawa, Takayuki Ogawa and Kenichi Hongo and has published in prestigious journals such as PLoS ONE, Neurology and Scientific Reports.

In The Last Decade

Makoto Kawai

154 papers receiving 1.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Makoto Kawai Japan 22 819 403 189 184 183 168 1.9k
Young‐Hyo Lim South Korea 22 688 0.8× 88 0.2× 140 0.7× 334 1.8× 182 1.0× 113 1.5k
Federico Guerra Italy 28 1.6k 1.9× 201 0.5× 168 0.9× 278 1.5× 85 0.5× 175 2.6k
Naoki Nishida Japan 24 494 0.6× 471 1.2× 121 0.6× 233 1.3× 160 0.9× 183 2.0k
Anand N. Ganesan Australia 28 3.0k 3.7× 522 1.3× 147 0.8× 297 1.6× 231 1.3× 110 3.7k
Andrew J. Burger United States 30 2.1k 2.6× 175 0.4× 201 1.1× 369 2.0× 117 0.6× 87 2.7k
Türker Türker Türkiye 21 182 0.2× 196 0.5× 256 1.4× 239 1.3× 80 0.4× 110 1.5k
Bo‐Yeon Kim South Korea 26 230 0.3× 404 1.0× 320 1.7× 363 2.0× 274 1.5× 121 2.1k
Hyun‐Sook Kim South Korea 19 594 0.7× 162 0.4× 118 0.6× 391 2.1× 115 0.6× 173 1.7k
Shao‐Yu Yang Taiwan 23 189 0.2× 248 0.6× 215 1.1× 437 2.4× 100 0.5× 85 1.8k
Tobias Graf Germany 22 867 1.1× 109 0.3× 91 0.5× 303 1.6× 125 0.7× 67 1.5k

Countries citing papers authored by Makoto Kawai

Since Specialization
Citations

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

Fields of papers citing papers by Makoto Kawai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Makoto Kawai

This figure shows the co-authorship network connecting the top 25 collaborators of Makoto Kawai. A scholar is included among the top collaborators of Makoto Kawai 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 Makoto Kawai. Makoto Kawai 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
1.
Ogawa, Kazuo, Yoshiro Tanaka, Toshikazu Tanaka, et al.. (2025). Association between mixed venous oxygen saturation and serum uric acid levels in patients with heart failure. PLoS ONE. 20(2). e0306353–e0306353. 1 indexed citations
2.
Nagoshi, Tomohisa, Toshikazu Tanaka, Yuhei Oi, et al.. (2024). Blunted increase in plasma BNP during acute coronary syndrome attacks in obese patients. IJC Heart & Vasculature. 54. 101508–101508.
3.
Nagoshi, Tomohisa, Toshikazu Tanaka, Yuhei Oi, et al.. (2023). Inhibitory action of B-type natriuretic peptide on adrenocorticotropic hormone in patients with acute coronary syndrome. American Journal of Physiology-Heart and Circulatory Physiology. 325(4). H856–H865. 1 indexed citations
4.
Kashiwagi, Yusuke, Tomohisa Nagoshi, Haruka Kimura, et al.. (2023). Effects of Angiotensin Receptor-Neprilysin Inhibitor on Insulin Resistance in Patients with Heart Failure. ESC Heart Failure. 10(3). 1860–1870. 3 indexed citations
5.
Nagoshi, Tomohisa, Akira Yoshii, Yoshiro Tanaka, et al.. (2019). Collaborative Activities of Noradrenaline and Natriuretic Peptide for Glucose Utilization in Patients with Acute Coronary Syndrome. Scientific Reports. 9(1). 7822–7822. 9 indexed citations
6.
Morimoto, Satoshi, Makoto Kawai, Masahisa Kobayashi, et al.. (2019). Clinical findings of gadolinium-enhanced cardiac magnetic resonance in Fabry patients. Journal of Cardiology. 75(1). 27–33. 12 indexed citations
7.
Tominaga, Mitsutoshi, Makoto Kawai, Kosuke Minai, et al.. (2019). Association between plasma B-type natriuretic peptide and anaemia in heart failure with or without ischaemic heart disease: a retrospective study. BMJ Open. 9(3). e024194–e024194. 7 indexed citations
8.
9.
Ito, Satoshi, Tomohisa Nagoshi, Kosuke Minai, et al.. (2017). Possible increase in insulin resistance and concealed glucose-coupled potassium-lowering mechanisms during acute coronary syndrome documented by covariance structure analysis. PLoS ONE. 12(4). e0176435–e0176435. 14 indexed citations
10.
Kushimoto, Shigeki, Shin‐ichiro Shiraishi, Seizan Tanabe, et al.. (2011). Traumatic renal artery occlusion treated with an endovascular stent — The limitations of surgical revascularization: Report of a case. Surgery Today. 41(7). 1020–1023. 10 indexed citations
11.
Kawai, Makoto, et al.. (2010). Interleaver-based Subcarrier Allocation Schemes for BER Fairness in OFDMA.. International Conference on Wireless Networks. 262–266. 2 indexed citations
12.
Kawai, Makoto, et al.. (2009). An Adaptive Handoff Scheme for User Mobility in Mobile Wimax Networks.. International Conference on Wireless Networks. 385–390. 1 indexed citations
13.
Kawai, Makoto, et al.. (2009). Improved GPS-free Ad-hoc Network Positioning for Urban Disaster Response. Ritsumeikan Academic Repository (R-Cube) (Ritsumeikan University). 3. 91–98. 1 indexed citations
14.
Kawai, Makoto, et al.. (2008). B-5-119 Effects of User Mobility on Handoff Performance in Mobile Broadband Networks. 2008(1). 432. 1 indexed citations
15.
Kusakari, Yoichiro, Jin O‐Uchi, Kimiaki Komukai, et al.. (2004). PKC is involved in the negative inotropic effect of alpha1-adrenoceptor stimulation in mouse myocardium. 1 indexed citations
16.
Daisuke, Umehara, et al.. (2004). A Decoding Method for Tornado-type Codes Utilizing Error Packets. IEICE Technical Report; IEICE Tech. Rep.. 104(531). 63–68. 1 indexed citations
17.
Sakamoto, Takuya, et al.. (2004). A Synchronization Method for Synchronous CDMA Broadband Communication Systems with GEO Satellites. IEICE Transactions on Communications. 87(8). 2111–2118.
18.
Ohta, Atsushi, et al.. (1992). A study on protocols to accommodate ATM cells in satellite TDMA systems. 1509. 3 indexed citations
19.
Than, Soe, et al.. (1991). Monoclonal Antibodies Against a Preadipose Cell Line (MC3T3-G2/PA6) Which Can Support Hemopoiesis. Hybridoma. 10(1). 103–112. 21 indexed citations
20.

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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