Maya Shofa

1.1k citations
10 papers · 46 · h-index 4

Impact in

Papers in

    • Hepatitis B Virus Studies 5
    • Virology and Viral Diseases 2
    • Viral Infections and Vectors 2
    • Viral gastroenteritis research and epidemiology 2

Maya Shofa

9 papers receiving 45 citations

Peers

Maya Shofa
Comparison fields: 5 of 21
  • Hepatology 18
  • Animal Science and Zoology 10
  • Infectious Diseases 15
  • Epidemiology 28
  • Virology 3
Replace Khadija Said Mohammed with:
Khadija Said Mohammed United Kingdom
Giulia Gallo United Kingdom
Forough Tavakoli Iran
Nikolay Pimenov Russia
Haajira Kaldine South Africa
Felicity Hartnell Italy
Ariadna Grinyo i Escuer United States
Ana Carolina da Fonseca Mendonça Brazil
Mark R. Zweigart United States
Jessica Gentry United States
Maya Shofa relative to Khadija Said Mohammed United Kingdom Khadija Said Mohammed's profile →
Citations per field
00.5×1.5×2.5×
Khadija Said Mohammed · 1×
Citations per year

Countries citing papers authored by Maya Shofa

Since Specialization
Citations

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

Fields of papers citing papers by Maya Shofa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Maya Shofa, 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 Maya Shofa Line = papers co-authored together Maya Shofa links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 202116
2 202311
3 20229
4 20234
5 20242
6 20231
7 20231
8 20181
9 20221
10 20230

About Maya Shofa

Maya Shofa is a scholar working on Epidemiology, Infectious Diseases, Animal Science and Zoology, Agronomy and Crop Science and Hepatology, having authored 10 papers that have together received 46 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (5 papers), Animal Disease Management and Epidemiology (3 papers), Animal Virus Infections Studies (3 papers), Hepatitis C virus research (2 papers), Virology and Viral Diseases (2 papers), Vector-Borne Animal Diseases (2 papers), Viral Infections and Vectors (2 papers) and Viral gastroenteritis research and epidemiology (2 papers). The work is most often cited by research in Hepatology (18 citations), Animal Science and Zoology (10 citations), Infectious Diseases (15 citations), Epidemiology (28 citations) and Virology (3 citations). Maya Shofa has collaborated with scholars based in Japan, Taiwan and Vietnam. Frequent co-authors include Akatsuki Saito, Yasuyuki Kaneko, Tamaki Okabayashi, Toru Okamoto, Kazuki Takahashi, Junki Hirano, Hirotaka Ode, Shige H. Yoshimura, Kuo‐Pin Chuang and Hoàng Văn Minh. Their work appears in journals such as Viruses, International Journal of Molecular Sciences, Journal of Veterinary Diagnostic Investigation, Pathogens and Antiviral Research.

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.

Explore authors with similar magnitude of impact