M Aikawa

28 papers receiving 914 citations

Peers

M Aikawa
Comparison fields: 5 of 72
  • Public Health, Environmental and Occupational Health 675
  • Parasitology 252
  • Immunology 247
  • Molecular Biology 181
  • Infectious Diseases 144
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R. Carter United Kingdom
J. Werner Zolg United States
Alison M. Creasey United Kingdom
Wasim A. Siddiqui United States
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Citations per field
00.5×1.5×
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Citations per year

Countries citing papers authored by M Aikawa

Since Specialization
Citations

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

Fields of papers citing papers by M Aikawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M Aikawa

This figure shows the co-authorship network connecting the top 25 collaborators of M Aikawa. A scholar is included among the top collaborators of M Aikawa 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 Aikawa. M Aikawa 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
Sequence analysis of the Rhop-3 gene of Plasmodium berghei and P. chabaudi, reactivity of Rhop-3 protein within isolated rhoptries and binding of Rhop-3 to mouse erythrocytes.
4
2 19
3 38
4 17
5 15
6 5
7 9
8 9
9 3
10
Erythrocyte rosetting and endothelial cytoadherence in Plasmodium falciparum malaria: implications for vaccine development.
1
11 46
12 286
13 5
14
Localization of protective 143/140 kDa antigens of Plasmodium knowlesi by the use of antibodies and ultracryomicrotomy.
13
15 39
16
Dirofilaria immitis. 5. Immunopathology of filarial nephropathy in dogs.
30
17 112
18
Pathology of malaria.
15
19
Host cell invasion by malarial parasites.
3
20
Ultrastructure and viability of cryopreserved Plasmodium falciparum.
15

About M Aikawa

M Aikawa is a scholar working on Parasitology, Public Health, Environmental and Occupational Health and Immunology, having authored 28 papers that have together received 964 indexed citations. Recurring topics across this work include Malaria Research and Control (17 papers), Mosquito-borne diseases and control (10 papers) and Vector-borne infectious diseases (4 papers). The work is most often cited by research in Parasitology (252 citations), Public Health, Environmental and Occupational Health (675 citations) and Immunology (247 citations). M Aikawa has collaborated with scholars based in United States, France and Sweden. Frequent co-authors include Hiroyuki Nagasawa, James H. Leech, Philip J. Rosenthal, James H. McKerrow, Carter T. Atkinson, L H Miller, J. David Haynes, Shigeaki Nakazawa, M.R. Hollingdale and Nobuko Yoshida. Their work appears in journals such as Journal of Clinical Investigation, The Journal of Immunology and American Journal of Tropical Medicine and Hygiene.

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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