M. Kai

823 total citations
19 papers, 520 citations indexed

About

M. Kai is a scholar working on Epidemiology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, M. Kai has authored 19 papers receiving a total of 520 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Epidemiology, 6 papers in Infectious Diseases and 3 papers in Molecular Biology. Recurrent topics in M. Kai's work include Mycobacterium research and diagnosis (5 papers), Tuberculosis Research and Epidemiology (4 papers) and Leprosy Research and Treatment (4 papers). M. Kai is often cited by papers focused on Mycobacterium research and diagnosis (5 papers), Tuberculosis Research and Epidemiology (4 papers) and Leprosy Research and Treatment (4 papers). M. Kai collaborates with scholars based in Japan, United States and Venezuela. M. Kai's co-authors include Shigeru Kamiya, Toshiaki Setoguchi, S. Sawamura, Noboru Nakata, Peter Sjöblom, Ingemar Björkhem, Gösta Eggertsen, Yoshiko Kashiwabara, Atsushi Ozawa and A. Ozawa and has published in prestigious journals such as Nucleic Acids Research, Clinical Infectious Diseases and Neuroscience.

In The Last Decade

M. Kai

19 papers receiving 510 citations

Peers

M. Kai
Comparison fields: 5 of 87
  • Epidemiology 205
  • Infectious Diseases 171
  • Surgery 133
  • Molecular Biology 112
  • Cell Biology 58
Sachiko Okazaki Japan
Marta Popiel Poland
Nicola Schaltenberg Germany
M. Galluser France
Chantal Martin France
Nana Yan China
Jing Zhu China
Weikang Chen China
Kelsey Roe United States
Shanna L. Banman Canada
Sachiko Okazaki Japan View profile →
Citations per field, relative to M. Kai
M. Kai · 1×
Citations per year, relative to M. Kai
M. Kai · 1×

Countries citing papers authored by M. Kai

Since Specialization
Citations

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

Fields of papers citing papers by M. Kai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Kai

This figure shows the co-authorship network connecting the top 25 collaborators of M. Kai. A scholar is included among the top collaborators of M. Kai 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 M. Kai. M. Kai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
# Work Indexed citations
1 10
2 6
3 26
4 30
5 27
6 11
7 3
8 25
9 4
10
Mycobacterium leprae typing by genomic diversity and global distribution of genotypes.
61
11 30
12
A case of hepatocellular carcinoma effectively treated with epirubicin aqueous vesicles in monodispersed iodized poppy-seed oil microdroplets.
9
13 2
14 35
15 109
16 48
17 39
18 28
19 17

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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