Maria Inge Lusida

1.9k citations
94 papers · 1.4k indexed · h-index 22

Maria Inge Lusida

88 papers receiving 1.3k citations

Peers

Maria Inge Lusida
Comparison fields: 5 of 113
  • Hepatology 639
  • Infectious Diseases 453
  • Epidemiology 616
  • Pharmacology 133
  • Virology 56
Replace Martina Friesland with:
Martina Friesland Germany
Aleksandra Barać Serbia
Chun‐Yu Lin Taiwan
Qichao Pan China
Claudius U. Meyer Germany
Joel N. Kuritsky United States
Lorrin Pang United States
Djénèba Ouermi Burkina Faso
Jean François Rossignol United States
Qianqian Qin China
Maria Inge Lusida relative to Martina Friesland Germany Martina Friesland's profile →
Citations per field
00.5×2.7×
Martina Friesland · 1×
Citations per year

Countries citing papers authored by Maria Inge Lusida

Since Specialization
Citations

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

Fields of papers citing papers by Maria Inge Lusida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria Inge Lusida. 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 Maria Inge Lusida. The network helps show where Maria Inge Lusida may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20241
3 20232
4 20232
5 20225
6 20222
7 202113
8 20205
9 20201
10 201915
11 201933
12 201819
13 20181
14 201714
15
PREVALENCE AND RISK FACTORS OF HEPATITIS B AND C VIRUS INFECTIONS AMONG HEMODIALYSISPATIENTS FROM PRIVATE HEMODIALYSIS UNITS IN SURABAYA, INDONESIA.
20162
16 20152
17 2014112
18 201314
19 201313
20 20102

About Maria Inge Lusida

Maria Inge Lusida is a scholar working on Hepatology, Infectious Diseases and Epidemiology, having authored 94 papers that have together received 1.4k indexed citations. Recurring topics across this work include Hepatitis C virus research (37 papers), Hepatitis B Virus Studies (35 papers), Liver Disease Diagnosis and Treatment (26 papers), Viral gastroenteritis research and epidemiology (17 papers), Hepatitis Viruses Studies and Epidemiology (15 papers), SARS-CoV-2 and COVID-19 Research (9 papers), Animal Virus Infections Studies (8 papers) and Viral Infections and Immunology Research (8 papers). The work is most often cited by research in Hepatology (639 citations), Infectious Diseases (453 citations) and Epidemiology (616 citations). Maria Inge Lusida has collaborated with scholars based in Indonesia, Japan and United States. Frequent co-authors include Soetjipto Soetjipto, Hak Hotta, Takako Utsumi, Yoshitake Hayashi, Yoshihiko Yano, Juniastuti Juniastuti, Mochamad Amin, Ikuo Shoji, Retno Handajani and Tutik Sri Wahyuni. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of The Electrochemical Society.

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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