Pavithra Krishnan

1.9k total citations · 1 hit paper
12 papers, 1.1k citations indexed

About

Pavithra Krishnan is a scholar working on Infectious Diseases, Modeling and Simulation and Animal Science and Zoology. According to data from OpenAlex, Pavithra Krishnan has authored 12 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Infectious Diseases, 5 papers in Modeling and Simulation and 2 papers in Animal Science and Zoology. Recurrent topics in Pavithra Krishnan's work include SARS-CoV-2 and COVID-19 Research (10 papers), COVID-19 epidemiological studies (5 papers) and Viral gastroenteritis research and epidemiology (3 papers). Pavithra Krishnan is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (10 papers), COVID-19 epidemiological studies (5 papers) and Viral gastroenteritis research and epidemiology (3 papers). Pavithra Krishnan collaborates with scholars based in Hong Kong, China and France. Pavithra Krishnan's co-authors include Malik Peiris, Leo L. M. Poon, Daisy Y.M. Ng, Carrie K.C. Wan, Daniel K. W. Chu, Kenrie P. Y. Hui, Samuel M. S. Cheng, Yingzhi Liu, Peng Yang and Quanyi Wang and has published in prestigious journals such as Nature Communications, The Journal of Infectious Diseases and Clinical Chemistry.

In The Last Decade

Pavithra Krishnan

12 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Molecular Diagnosis of a Novel Coronavirus (2019-nCoV) Causing an Outbreak of Pneumonia

2020 891 citations Daniel K. W. Chu, Yang Pan et al. Clinical Chemistry profile →

Peers

Pavithra Krishnan

ID

BE

MB

RNMI

MS

Daisy Y.M. Ng Hong Kong

Carrie K.C. Wan Hong Kong

Anthony Chin‐Ki Ng Hong Kong

Zijiao Zou China

Owen Tak‐Yin Tsang Hong Kong

Kit‐Hang Leung China

Sebastian Hoehl Germany

Kazuyasu Miyoshi Japan

Jane Cunningham Switzerland

Tommy Hing‐Cheung Tang China

Daisy Y.M. Ng Hong Kong

Pavithra Krishnan

901 ×1.0

ID

289 ×1.0

BE

232 ×1.0

MB

173 ×1.0

RNMI

107 ×1.0

MS

Citations per year, relative to Pavithra Krishnan Pavithra Krishnan (= 1×) peers Daisy Y.M. Ng

Countries citing papers authored by Pavithra Krishnan

Since Specialization

Citations

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

Fields of papers citing papers by Pavithra Krishnan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pavithra Krishnan

This figure shows the co-authorship network connecting the top 25 collaborators of Pavithra Krishnan. A scholar is included among the top collaborators of Pavithra Krishnan 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 Pavithra Krishnan. Pavithra Krishnan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

1.

Gu, Haogao, Ahmed Abdul Quadeer, Pavithra Krishnan, et al.. (2023). Within-host genetic diversity of SARS-CoV-2 lineages in unvaccinated and vaccinated individuals. Nature Communications. 14(1). 1793–1793. 13 indexed citations

2.

Zhou, Ziqi, Abraham Ali, Ihab El Masry, et al.. (2023). Genetic diversity and molecular epidemiology of Middle East Respiratory Syndrome Coronavirus in dromedaries in Ethiopia, 2017–2020. Emerging Microbes & Infections. 12(1). e2164218–e2164218. 7 indexed citations

3.

Gu, Haogao, Daisy Y.M. Ng, Pavithra Krishnan, et al.. (2022). Development of multiplex RT‐ddPCR assays for detection of SARS‐CoV‐2 and other common respiratory virus infections. Influenza and Other Respiratory Viruses. 17(1). e13084–e13084. 5 indexed citations

4.

Su, Wen, Haogao Gu, Sin Fun Sia, et al.. (2022). Reduced Pathogenicity and Transmission Potential of Omicron BA.1 and BA.2 Sublineages Compared with the Early Severe Acute Respiratory Syndrome Coronavirus 2 D614G Variant in Syrian Hamsters. The Journal of Infectious Diseases. 227(10). 1143–1152. 15 indexed citations

5.

Gu, Haogao, Daisy Y.M. Ng, Samuel Cheng, et al.. (2022). Recombinant BA.1/BA.2 SARS-CoV-2 Virus in Arriving Travelers, Hong Kong, February 2022. Emerging infectious diseases. 28(6). 1276–1278. 8 indexed citations

6.

Vijaykrishna, Dhanasekaran, Kimberly M. Edwards, Ruopeng Xie, et al.. (2021). Air travel-related outbreak of multiple SARS-CoV-2 variants. Journal of Travel Medicine. 28(8). 11 indexed citations

7.

Gu, Haogao, Pavithra Krishnan, Daisy Y.M. Ng, et al.. (2021). Probable Transmission of SARS-CoV-2 Omicron Variant in Quarantine Hotel, Hong Kong, China, November 2021. Emerging infectious diseases. 28(2). 460–462. 118 indexed citations

8.

Gu, Haogao, Samuel Cheng, Pavithra Krishnan, et al.. (2021). Monitoring International Travelers Arriving in Hong Kong for Genomic Surveillance of SARS-CoV-2. Emerging infectious diseases. 28(1). 247–250. 6 indexed citations

9.

Chu, Daniel K. W., Haogao Gu, Lydia D.J. Chang, et al.. (2021). SARS-CoV-2 Superspread in Fitness Center, Hong Kong, China, March 2021. Emerging infectious diseases. 27(8). 2230–2232. 19 indexed citations

10.

Chu, Daniel K. W., Kenrie P. Y. Hui, Haogao Gu, et al.. (2021). Introduction of ORF3a-Q57H SARS-CoV-2 Variant Causing Fourth Epidemic Wave of COVID-19, Hong Kong, China. Emerging infectious diseases. 27(5). 1492–1495. 23 indexed citations

11.

Gu, Haogao, Daniel K. W. Chu, Lydia D.J. Chang, et al.. (2021). Genetic Diversity of SARS-CoV-2 among Travelers Arriving in Hong Kong. Emerging infectious diseases. 27(10). 2666–2668. 5 indexed citations

12.

Chu, Daniel K. W., Yang Pan, Samuel M. S. Cheng, et al.. (2020). Molecular Diagnosis of a Novel Coronavirus (2019-nCoV) Causing an Outbreak of Pneumonia. Clinical Chemistry. 66(4). 549–555. 891 indexed citations breakdown →

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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