Vikram Chan-Herur

695 total citations · 1 hit paper
8 papers, 267 citations indexed

About

Vikram Chan-Herur is a scholar working on Infectious Diseases, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Vikram Chan-Herur has authored 8 papers receiving a total of 267 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Infectious Diseases, 5 papers in Biomedical Engineering and 3 papers in Molecular Biology. Recurrent topics in Vikram Chan-Herur's work include SARS-CoV-2 detection and testing (8 papers), Biosensors and Analytical Detection (5 papers) and Advanced biosensing and bioanalysis techniques (3 papers). Vikram Chan-Herur is often cited by papers focused on SARS-CoV-2 detection and testing (8 papers), Biosensors and Analytical Detection (5 papers) and Advanced biosensing and bioanalysis techniques (3 papers). Vikram Chan-Herur collaborates with scholars based in United States. Vikram Chan-Herur's co-authors include Alexandria B. Boehm, Dorothea Duong, Bradley J. White, Marlene K. Wolfe, Bridgette Hughes, Anna Buchman, Krista R. Wigginton, Amanda Bidwell, Colleen C. Naughton and Heather N. Bischel and has published in prestigious journals such as Applied and Environmental Microbiology, Scientific Data and PeerJ.

In The Last Decade

Vikram Chan-Herur

7 papers receiving 255 citations

Hit Papers

Wastewater concentrations of human influenza, metapneumov... 2023 2026 2024 2025 2023 40 80 120

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Vikram Chan-Herur United States 6 234 100 94 32 23 8 267
Nataša Berginc Slovenia 6 167 0.7× 64 0.6× 96 1.0× 25 0.8× 19 0.8× 9 245
Nada Hegazy Canada 5 158 0.7× 62 0.6× 57 0.6× 14 0.4× 24 1.0× 11 182
Brijen Miyani United States 8 252 1.1× 121 1.2× 37 0.4× 39 1.2× 43 1.9× 10 294
Laura Roldan-Hernandez United States 7 413 1.8× 247 2.5× 55 0.6× 90 2.8× 50 2.2× 9 457
Camille McCall United States 9 278 1.2× 139 1.4× 58 0.6× 55 1.7× 40 1.7× 12 326
Ming‐Jr Jian Taiwan 10 193 0.8× 63 0.6× 113 1.2× 48 1.5× 16 0.7× 26 324
Hsing‐Yi Chung Taiwan 10 193 0.8× 65 0.7× 85 0.9× 50 1.6× 56 2.4× 30 328
Jill S. McClary-Gutierrez United States 4 251 1.1× 157 1.6× 18 0.2× 43 1.3× 45 2.0× 4 276
Sawyer Farmer United States 5 85 0.4× 55 0.6× 44 0.5× 44 1.4× 15 0.7× 6 161
Hitomi Sueki Japan 8 300 1.3× 132 1.3× 89 0.9× 58 1.8× 37 1.6× 10 344

Countries citing papers authored by Vikram Chan-Herur

Since Specialization
Citations

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

Fields of papers citing papers by Vikram Chan-Herur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vikram Chan-Herur. 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 Vikram Chan-Herur. The network helps show where Vikram Chan-Herur may publish in the future.

Co-authorship network of co-authors of Vikram Chan-Herur

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

All Works

8 of 8 papers shown
2.
Boehm, Alexandria B., Marlene K. Wolfe, Amanda Bidwell, et al.. (2024). Human pathogen nucleic acids in wastewater solids from 191 wastewater treatment plants in the United States. Scientific Data. 11(1). 1141–1141. 14 indexed citations
3.
Wolfe, Marlene K., Dorothea Duong, Vikram Chan-Herur, et al.. (2024). Detection of Hemagglutinin H5 Influenza A Virus Sequence in Municipal Wastewater Solids at Wastewater Treatment Plants with Increases in Influenza A in Spring, 2024. Environmental Science & Technology Letters. 11(6). 526–532. 22 indexed citations
4.
Boehm, Alexandria B., Marlene K. Wolfe, Krista R. Wigginton, et al.. (2023). Human viral nucleic acids concentrations in wastewater solids from Central and Coastal California USA. Scientific Data. 10(1). 396–396. 36 indexed citations
5.
Boehm, Alexandria B., Bridgette Hughes, Dorothea Duong, et al.. (2023). Wastewater concentrations of human influenza, metapneumovirus, parainfluenza, respiratory syncytial virus, rhinovirus, and seasonal coronavirus nucleic-acids during the COVID-19 pandemic: a surveillance study. The Lancet Microbe. 4(5). e340–e348. 131 indexed citations breakdown →
6.
Kim, Sooyeol, Marlene K. Wolfe, Craig S. Criddle, et al.. (2022). Effect of SARS-CoV-2 digital droplet RT-PCR assay sensitivity on COVID-19 wastewater based epidemiology. PLOS Water. 1(11). e0000066–e0000066. 3 indexed citations
7.
Boehm, Alexandria B., Bridgette Hughes, Marlene K. Wolfe, et al.. (2022). Regional Replacement of SARS-CoV-2 Variant Omicron BA.1 with BA.2 as Observed through Wastewater Surveillance. Environmental Science & Technology Letters. 9(6). 575–580. 22 indexed citations
8.
Wolfe, Marlene K., Bridgette Hughes, Dorothea Duong, et al.. (2022). Detection of SARS-CoV-2 Variants Mu, Beta, Gamma, Lambda, Delta, Alpha, and Omicron in Wastewater Settled Solids Using Mutation-Specific Assays Is Associated with Regional Detection of Variants in Clinical Samples. Applied and Environmental Microbiology. 88(8). e0004522–e0004522. 39 indexed citations

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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