MACHIKO NAGAI

967 citations
54 papers · 774 indexed · h-index 13
Topics
Peptidase Inhibition and Analysis (19 papers)Protein Hydrolysis and Bioactive Peptides (7 papers)Cancer Treatment and Pharmacology (6 papers)
Partner nations
JapanGermany

In The Last Decade

MACHIKO NAGAI

52 papers receiving 711 citations

Peers

MACHIKO NAGAI
Comparison fields: 5 of 88
  • Molecular Biology 390
  • Oncology 266
  • Organic Chemistry 170
  • Cellular and Molecular Neuroscience 117
  • Immunology 106
Replace B.J. Noland with:
B.J. Noland United States
Sheila Norton United States
Carolina Lobo Spain
Gary A. Martin United States
Wayne M. Geissler United States
Norio Kagawa United States
Sylvie Bardon France
Maria Piqué Spain
János Seprődi Hungary
Jennifer B. Nixon United States
MACHIKO NAGAI relative to B.J. Noland United States B.J. Noland's profile →
Citations per field
00.5×6.1×
B.J. Noland · 1×
Citations per year

Countries citing papers authored by MACHIKO NAGAI

Since Specialization
Citations

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

Fields of papers citing papers by MACHIKO NAGAI

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of MACHIKO NAGAI

This figure shows the co-authorship network connecting the top 25 collaborators of MACHIKO NAGAI. A scholar is included among the top collaborators of MACHIKO NAGAI 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 MACHIKO NAGAI. MACHIKO NAGAI 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 12
2
Thoracic aortic dissection in a patient with autosomal dominant polycystic kidney disease treated with maintenance hemodialysis.
10
3 46
4 8
5 5
6 7
7 8
8 9
9 16
10 9
11 51
12 66
13 7
14 84
15 34
16 0
17 1
18 12
19 2
20 2

About MACHIKO NAGAI

MACHIKO NAGAI is a scholar working on Oncology, Cell Biology and Biological Psychiatry, having authored 54 papers that have together received 774 indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (19 papers), Protein Hydrolysis and Bioactive Peptides (7 papers) and Cancer Treatment and Pharmacology (6 papers). The work is most often cited by research in Oncology (266 citations), Biotechnology (58 citations) and Cellular and Molecular Neuroscience (117 citations). MACHIKO NAGAI has collaborated with scholars based in Japan and Germany. Frequent co-authors include TAKAAKI AOYAGI, TOMIO TAKEUCHI, Takao Wada, HAMAO UMEZAWA, Keiji OGAWA, MASA HAMADA, Fukiko Kojima, Fumiyoshi Kojima, Takao Aoyagi and Hiroyuki Suda. Their work appears in journals such as Journal of Clinical Investigation, Biochemical and Biophysical Research Communications and International Journal of Cancer.

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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