Mari Kamba

10 papers receiving 798 citations

Hit Papers

Germline transformation of the silkworm Bombyx mori L. using a piggyBac transposon-derived vector 2000 · 624 citations
6240+8+17Years since publication200400600

Peers

Mari Kamba
Comparison fields: 5 of 70
  • Biomaterials 304
  • Insect Science 268
  • Cellular and Molecular Neuroscience 262
  • Immunology 161
  • Molecular Biology 502
Replace Motoyuki Sumida with:
Motoyuki Sumida Japan
Shuichiro Tomita Japan
Junko Nohata Japan
Toshio Kanda Japan
Paul D. Shirk United States
Muwang Li China
Shigeharu Takiya Japan
Bernard Mauchamp France
Hiromu Akai China
Junko Narukawa Japan
Mari Kamba relative to Motoyuki Sumida Japan Motoyuki Sumida's profile →
Citations per field
00.5×4.3×
Motoyuki Sumida · 1×
Citations per year

Countries citing papers authored by Mari Kamba

Since Specialization
Citations

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

Fields of papers citing papers by Mari Kamba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1
Germline transformation of the silkworm Bombyx mori L. using a piggyBac transposon-derived vector
Hit paper breakdown →
2000624
2 200692
3 199144
4 200028
5 199418
6 200310
7 20006
8 20004
9 19953
10 19953

About Mari Kamba

Mari Kamba is a scholar working on Cellular and Molecular Neuroscience, Insect Science, Molecular Biology, Aquatic Science and Ecology, having authored 10 papers that have together received 832 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (8 papers), Insect Utilization and Effects (4 papers), Plant biochemistry and biosynthesis (2 papers), Silkworms and Sericulture Research (2 papers), Insect Resistance and Genetics (2 papers), Silk-based biomaterials and applications (2 papers), Aquaculture Nutrition and Growth (2 papers) and Invertebrate Immune Response Mechanisms (1 paper). The work is most often cited by research in Biomaterials (304 citations), Insect Science (268 citations), Cellular and Molecular Neuroscience (262 citations), Immunology (161 citations) and Molecular Biology (502 citations). Mari Kamba has collaborated with scholars based in Japan, France and Greece. Frequent co-authors include Chantal Thibert, Paul D. Shirk, Bernard Mauchamp, Pierre Couble, Jean‐Claude Prudhomme, Gérard Chavancy, Malcolm J. Fraser, Corinne Royer, Natuo Kômoto and Abraham G. Eappen. Their work appears in journals such as Insect Biochemistry and Molecular Biology, Rapid Communications in Mass Spectrometry, Cellular and Molecular Life Sciences, Biochemical and Biophysical Research Communications and Nature Biotechnology.

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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