Alka Chaubey

1.3k citations
49 papers · 811 · h-index 15

Impact in

  • Genetics top 10%
    • Genomic variations and chromosomal abnormalities
    • Genomics and Rare Diseases
    • Genetics and Neurodevelopmental Disorders

Papers in

Alka Chaubey

46 papers receiving 796 citations

Peers

Alka Chaubey
Comparison fields: 5 of 87
  • Genetics 199
  • Clinical Biochemistry 43
  • Infectious Diseases 110
  • Cancer Research 77
  • Molecular Biology 345
Replace Nobuaki Wakamatsu with:
Nobuaki Wakamatsu Japan
Baozhong Xin United States
JT den Dunnen Netherlands
Chiara Passarelli Italy
Yuichi Kumaki Japan
Gouri Yogalingam Australia
Anne R. Murray United States
Herena Eixarch Spain
Louisa M. Villeneuve United States
Scott Topper United States
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Citations per field
00.5×4.3×
Nobuaki Wakamatsu · 1×
Citations per year

Countries citing papers authored by Alka Chaubey

Since Specialization
Citations

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

Fields of papers citing papers by Alka Chaubey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013135
2 202191
3 201276
4 201871
5 202169
6 202243
7 201540
8 202025
9 201522
10 202320
11 201820
12 201620
13 202219
14 202118
15 202116
16 201512
17 202110
18 202310
19 20199
20 20219

About Alka Chaubey

Alka Chaubey is a scholar working on Genetics, Molecular Biology, Cancer Research, Infectious Diseases and Radiology, Nuclear Medicine and Imaging, having authored 49 papers that have together received 811 indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (13 papers), Cancer Genomics and Diagnostics (9 papers), SARS-CoV-2 and COVID-19 Research (7 papers), SARS-CoV-2 detection and testing (7 papers), Prenatal Screening and Diagnostics (5 papers), Respiratory viral infections research (4 papers), COVID-19 diagnosis using AI (4 papers) and Genomics and Rare Diseases (4 papers). The work is most often cited by research in Genetics (199 citations), Clinical Biochemistry (43 citations), Infectious Diseases (110 citations), Cancer Research (77 citations) and Molecular Biology (345 citations). Alka Chaubey has collaborated with scholars based in United States, Kenya and India. Frequent co-authors include Nikhil Sahajpal, Ravindra Kolhe, Alex Hastie, Ashis K. Mondal, Hayk Barseghyan, Charles E. Schwartz, Sudha Ananth, Emil Alexov, Subheet Kumar Jain and Amyn M. Rojiani. Their work appears in journals such as Journal of Molecular Diagnostics, Genes, Current Issues in Molecular Biology, Human Molecular Genetics and Genetics in Medicine.

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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