Masahide Iwai

439 citations
29 papers · 362 indexed · h-index 13
Topics
Lipoproteins and Cardiovascular Health (9 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers)Liver Disease Diagnosis and Treatment (5 papers)
Partner nations
Japan

In The Last Decade

Masahide Iwai

29 papers receiving 339 citations

Peers

Masahide Iwai
Comparison fields: 5 of 51
  • Endocrinology, Diabetes and Metabolism 197
  • Surgery 192
  • Molecular Biology 80
  • Physiology 62
  • Cardiology and Cardiovascular Medicine 61
Replace HN Ginsberg with:
HN Ginsberg United States
D Bojanovski United States
Elena V. Feofanova United States
V. A. Kosykh Russia
C. Delcroix Belgium
U Beil Germany
Jesse Yates United States
H.A. van der Voort Netherlands
Marc Evans United Kingdom
Ioanna Gouni-Berthold Germany
Masahide Iwai relative to HN Ginsberg United States HN Ginsberg's profile →
Citations per field
00.5×
HN Ginsberg · 1×
Citations per year

Countries citing papers authored by Masahide Iwai

Since Specialization
Citations

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

Fields of papers citing papers by Masahide Iwai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masahide Iwai

This figure shows the co-authorship network connecting the top 25 collaborators of Masahide Iwai. A scholar is included among the top collaborators of Masahide Iwai 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 Masahide Iwai. Masahide Iwai 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
#WorkIndexed citations
1
[A Case of Immune-Related Adverse Events Affecting the Lungs, Skin, and Pituitary Gland during Pembrolizumab Treatment].
1
2 3
3
[A case of advanced gastric cancer with disseminated carcinomatosis of bone marrow treated by S-1 and CDDP].
3
4 12
5 1
6 4
7 18
8 16
9 8
10 5
11 15
12 2
13 3
14 1
15 10
16 29
17 21
18 8
19 36
20 13

About Masahide Iwai

Masahide Iwai is a scholar working on Endocrinology, Diabetes and Metabolism, Biochemistry and Cancer Research, having authored 29 papers that have together received 362 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (9 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers) and Liver Disease Diagnosis and Treatment (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (197 citations), Surgery (192 citations) and Biotechnology (33 citations). Masahide Iwai has collaborated with scholars based in Japan. Frequent co-authors include Gen Yoshino, Tsutomu Kazumi, Shigeaki Baba, Masayuki Matsushita, M. Matsushita, Hiroshi Hatanaka, Munetada Oimomi, Makoto Otsuki, Takashi Kasama and S. Baba. Their work appears in journals such as Diabetes Care, Atherosclerosis and Metabolism.

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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