Madoka Hashido

510 total citations
21 papers, 403 citations indexed

About

Madoka Hashido is a scholar working on Epidemiology, Infectious Diseases and Genetics. According to data from OpenAlex, Madoka Hashido has authored 21 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Epidemiology, 7 papers in Infectious Diseases and 5 papers in Genetics. Recurrent topics in Madoka Hashido's work include Herpesvirus Infections and Treatments (15 papers), Cytomegalovirus and herpesvirus research (8 papers) and Virus-based gene therapy research (5 papers). Madoka Hashido is often cited by papers focused on Herpesvirus Infections and Treatments (15 papers), Cytomegalovirus and herpesvirus research (8 papers) and Virus-based gene therapy research (5 papers). Madoka Hashido collaborates with scholars based in Japan, United States and Armenia. Madoka Hashido's co-authors include Takashi Kawana, Sakae Inouye, T. Inada, Yae‐Jean Kim, Hoan Jong Lee, Yun Kyung Kim, Pedro A. Piedra, Shin Isomura, André J. Nahmias and Y. Nagata and has published in prestigious journals such as The Lancet, Journal of Clinical Microbiology and Journal of Medical Virology.

In The Last Decade

Madoka Hashido

20 papers receiving 390 citations

Peers

Madoka Hashido
Comparison fields: 5 of 51
  • Epidemiology 277
  • Infectious Diseases 156
  • Genetics 151
  • Immunology 62
  • Cardiology and Cardiovascular Medicine 45
Replace K. K. A. Goswami with:
K. K. A. Goswami United Kingdom
P. E. Valensin Italy
Natasha Qaisar United States
Islam T. M. Hussein United States
Kuei-Hsiang Lin Taiwan
W E Rawls Canada
Yasufumi Hidaka Japan
Patrizia Latorre Switzerland
Jacoba G. Kapsenberg Netherlands
J R Schlehofer Germany
K. K. A. Goswami United Kingdom View profile →
Citations per field, relative to Madoka Hashido
Madoka Hashido · 1×
Citations per year, relative to Madoka Hashido
Madoka Hashido · 1×

Countries citing papers authored by Madoka Hashido

Since Specialization
Citations

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

Fields of papers citing papers by Madoka Hashido

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Madoka Hashido

This figure shows the co-authorship network connecting the top 25 collaborators of Madoka Hashido. A scholar is included among the top collaborators of Madoka Hashido 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 Madoka Hashido. Madoka Hashido 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
# Work Indexed citations
1 87
2 26
3 10
4 60
5 20
6 24
7 23
8 7
9 6
10
Adenovirus surveillance, 1982-1993, Japan. A report of the National Epidemiological Surveillance of Infectious Agents in Japan.
27
11 18
12 10
13 3
14 1
15 5
16 26
17
[Diagnosis of herpes simplex virus infection].
1
18 15
19 0
20 1

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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