Maria Inge Lusida

1.9k total citations
94 papers, 1.4k citations indexed

About

Maria Inge Lusida is a scholar working on Epidemiology, Hepatology and Infectious Diseases. According to data from OpenAlex, Maria Inge Lusida has authored 94 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Epidemiology, 50 papers in Hepatology and 39 papers in Infectious Diseases. Recurrent topics in Maria Inge Lusida's work include Hepatitis C virus research (37 papers), Hepatitis B Virus Studies (35 papers) and Liver Disease Diagnosis and Treatment (26 papers). Maria Inge Lusida is often cited by papers focused on Hepatitis C virus research (37 papers), Hepatitis B Virus Studies (35 papers) and Liver Disease Diagnosis and Treatment (26 papers). Maria Inge Lusida collaborates with scholars based in Indonesia, Japan and United States. Maria Inge Lusida's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of The Electrochemical Society.

In The Last Decade

Maria Inge Lusida

88 papers receiving 1.3k citations

Peers

Maria Inge Lusida
Comparison fields: 5 of 113
  • Hepatology 639
  • Epidemiology 616
  • Infectious Diseases 453
  • Molecular Biology 152
  • Pharmacology 133
Replace Martina Friesland with:
Martina Friesland Germany
Seiji Kageyama Japan
Djénèba Ouermi Burkina Faso
Qichao Pan China
Apostolos Beloukas Greece
Peng Xiao United States
Vipin M. Vashishtha India
Ana Carolina Gomes Jardim Brazil
Aleksandra Barać Serbia
Md. Golzar Hossain Bangladesh
Martina Friesland Germany View profile →
Citations per field, relative to Maria Inge Lusida
Maria Inge Lusida · 1×
Citations per year, relative to Maria Inge Lusida
Maria Inge Lusida · 1×

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 of co-authors of Maria Inge Lusida

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Inge Lusida. A scholar is included among the top collaborators of Maria Inge Lusida 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 Maria Inge Lusida. Maria Inge Lusida 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 2
2 1
3 2
4 2
5 5
6 2
7 13
8 5
9 1
10 15
11 33
12 19
13 1
14 14
15
PREVALENCE AND RISK FACTORS OF HEPATITIS B AND C VIRUS INFECTIONS AMONG HEMODIALYSISPATIENTS FROM PRIVATE HEMODIALYSIS UNITS IN SURABAYA, INDONESIA.
2
16 2
17 112
18 14
19 13
20 2

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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