Hera Nirwati

33 papers receiving 428 citations

Peers

Hera Nirwati
Comparison fields: 5 of 80
  • Molecular Medicine 125
  • Applied Microbiology and Biotechnology 40
  • Infectious Diseases 189
  • Hepatology 81
  • Endocrinology 43
Replace Hari Prasad Kattel with:
Hari Prasad Kattel Nepal
Erick Odoyo Kenya
Babatunde Olanrewaju Motayo Nigeria
Mubashir Ahmad Khan Saudi Arabia
Irene Pérez Schael Venezuela
Xiwei Xu China
Samuel Vilchez Nicaragua
Manas Kanoksil Thailand
Ziya Cibali Açıkgöz Türkiye
Francesca Di Bernardo Italy
Hera Nirwati relative to Hari Prasad Kattel Nepal Hari Prasad Kattel's profile →
Citations per field
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Citations per year

Countries citing papers authored by Hera Nirwati

Since Specialization
Citations

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

Fields of papers citing papers by Hera Nirwati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019177
2 201059
3 201923
4 202023
5 201620
6 201818
7 201717
8 201711
9 201811
10 202211
11 20189
12
Detection of blaoxa genes and identification of biofilm-producing capacity of Acinetobacter baumannii in a tertiary teaching hospital, Klaten, Indonesia.
20186
13 20245
14 20215
15 20195
16 20194
17 20164
18 20203
19 20153
20
Rapid Detection and Molecular Typing of Dengue Virus by Using Multiplex-Nested-RT-PCR
20152

About Hera Nirwati

Hera Nirwati is a scholar working on Infectious Diseases, Hepatology, Cardiology and Cardiovascular Medicine, Surgery and General Health Professions, having authored 38 papers that have together received 436 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (18 papers), Hepatitis Viruses Studies and Epidemiology (7 papers), Viral Infections and Immunology Research (6 papers), Congenital Anomalies and Fetal Surgery (5 papers), Animal Virus Infections Studies (4 papers), COVID-19 Prevention and Impact (4 papers), Healthcare Quality and Satisfaction (4 papers) and Bacterial biofilms and quorum sensing (3 papers). The work is most often cited by research in Molecular Medicine (125 citations), Applied Microbiology and Biotechnology (40 citations), Infectious Diseases (189 citations), Hepatology (81 citations) and Endocrinology (43 citations). Hera Nirwati has collaborated with scholars based in Indonesia, Australia and United States. Frequent co-authors include Abu Tholib Aman, Mohamad S. Hakim, Yati Soenarto, Titik Nuryastuti, Julie E. Bines, Carl D. Kirkwood, Margie Danchin, Rina Triasih, Nada Bogdanovic‐Sakran and Qiuwei Pan. Their work appears in journals such as Vaccine, SpringerPlus, World Journal of Pediatrics, Journal of Medical Virology and The Indian Journal of Medical 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.

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