Runa Jha

914 citations
30 papers · 306 · h-index 9

Impact in

Papers in

    • Respiratory viral infections research 4
    • Influenza Virus Research Studies 3
    • SARS-CoV-2 detection and testing 5
    • SARS-CoV-2 and COVID-19 Research 5

Runa Jha

24 papers receiving 281 citations

Peers

Runa Jha
Comparison fields: 5 of 75
  • Reproductive Medicine 87
  • Applied Microbiology and Biotechnology 18
  • Infectious Diseases 119
  • Modeling and Simulation 28
  • Obstetrics and Gynecology 45
Replace Helena de Carvalho Gomes with:
Helena de Carvalho Gomes Sweden
Valeria Belvisi Italy
Shaia Almalki Saudi Arabia
Kaori Okayama Japan
Manjula Singh India
M. Al-Sharhan United Arab Emirates
Sandhya Nagarakanti United States
Parisa Shiri Aghbash Iran
Seyit Ali Büyüktuna Türkiye
C Molinié France
Runa Jha relative to Helena de Carvalho Gomes Sweden Helena de Carvalho Gomes's profile →
Citations per field
00.5×8.7×
Helena de Carvalho Gomes · 1×
Citations per year

Countries citing papers authored by Runa Jha

Since Specialization
Citations

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

Fields of papers citing papers by Runa Jha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020112
2
Histological pattern of ovarian tumors and their age distribution.
200872
3 202122
4 200818
5 202110
6 20099
7 20218
8 20208
9 20138
10 20227
11 20236
12 20105
13 20244
14 20233
15 20242
16 20242
17 20122
18 20122
19 20231
20 20241

About Runa Jha

Runa Jha is a scholar working on Epidemiology, Infectious Diseases, Applied Microbiology and Biotechnology, Public Health, Environmental and Occupational Health and Reproductive Medicine, having authored 30 papers that have together received 306 indexed citations. Recurring topics across this work include SARS-CoV-2 detection and testing (5 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Antibiotic Use and Resistance (5 papers), COVID-19 epidemiological studies (4 papers), Respiratory viral infections research (4 papers), Mosquito-borne diseases and control (3 papers), Influenza Virus Research Studies (3 papers) and Ovarian cancer diagnosis and treatment (3 papers). The work is most often cited by research in Reproductive Medicine (87 citations), Applied Microbiology and Biotechnology (18 citations), Infectious Diseases (119 citations), Modeling and Simulation (28 citations) and Obstetrics and Gynecology (45 citations). Runa Jha has collaborated with scholars based in Nepal, United Kingdom and United States. Frequent co-authors include G Sayami, Bibek Kumar Lal, Ranjit Sah, Ali A. Rabaan, Alfonso J. Rodríguez‐Morales, Anup Bastola, Daniel K. W. Chu, Haogao Gu, Kouichi Morita and Anthony Costello. Their work appears in journals such as Tropical Medicine and Infectious Disease, PLoS ONE, Clinical Infectious Diseases, Scientific Reports and Vaccine.

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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