Naoki Manda

429 citations
23 papers · 270 · h-index 10

Impact in

Papers in

Naoki Manda

23 papers receiving 260 citations

Peers

Naoki Manda
Comparison fields: 5 of 43
  • Endocrinology, Diabetes and Metabolism 173
  • Cardiology and Cardiovascular Medicine 36
  • Nephrology 10
  • Clinical Biochemistry 9
  • Pharmacology 15
Replace Shih‐Chen Tung with:
Shih‐Chen Tung Taiwan
M. Yoshinari Japan
Chiara Frigé Italy
Hajime Kihara Japan
Aline M.E. Stades Netherlands
Helison Rafael Pereira do Carmo Brazil
Sinan Tanyolaç Türkiye
Surya Panicker Rajeev United Kingdom
Xiaoxuan Ma China
Sandra Thiemann Germany
Naoki Manda relative to Shih‐Chen Tung Taiwan Shih‐Chen Tung's profile →
Citations per field
00.5×3.1×
Shih‐Chen Tung · 1×
Citations per year

Countries citing papers authored by Naoki Manda

Since Specialization
Citations

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

Fields of papers citing papers by Naoki Manda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201546
2 201638
3 201829
4 201727
5 201815
6 201814
7 200914
8 201913
9 201911
10 201710
11 20179
12 20178
13 20187
14 20226
15 19866
16 20215
17 20233
18
Diabetes Mellitus During the Course of Infectious Mononucleosis
19822
19 20232
20 20172

About Naoki Manda

Naoki Manda is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Surgery, Cardiology and Cardiovascular Medicine and Nephrology, having authored 23 papers that have together received 270 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (13 papers), Metabolism, Diabetes, and Cancer (5 papers), Diabetes Management and Research (4 papers), Antiplatelet Therapy and Cardiovascular Diseases (3 papers), Pancreatic function and diabetes (3 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Advanced Glycation End Products research (2 papers) and Amyloidosis: Diagnosis, Treatment, Outcomes (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (173 citations), Cardiology and Cardiovascular Medicine (36 citations), Nephrology (10 citations), Clinical Biochemistry (9 citations) and Pharmacology (15 citations). Naoki Manda has collaborated with scholars based in Japan and United States. Frequent co-authors include Shin Aoki, Tatsuya Atsumi, Yoshio Kurihara, Hideaki Miyoshi, Hiroshi Nomoto, Akinobu Nakamura, Tomoo Furumoto, Kyu Yong Cho, Koji Oba and Hiroyuki Tsutsui. Their work appears in journals such as Journal of Diabetes Investigation, Diabetes Obesity and Metabolism, PLoS ONE, Pharmaceutics and Diabetes & Metabolism Journal.

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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