Pankhuri Singhal

747 total citations
21 papers, 338 citations indexed

About

Pankhuri Singhal is a scholar working on Plant Science, Molecular Biology and Endocrinology. According to data from OpenAlex, Pankhuri Singhal has authored 21 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Plant Science, 7 papers in Molecular Biology and 7 papers in Endocrinology. Recurrent topics in Pankhuri Singhal's work include Plant Virus Research Studies (11 papers), Plant and Fungal Interactions Research (7 papers) and Bioinformatics and Genomic Networks (4 papers). Pankhuri Singhal is often cited by papers focused on Plant Virus Research Studies (11 papers), Plant and Fungal Interactions Research (7 papers) and Bioinformatics and Genomic Networks (4 papers). Pankhuri Singhal collaborates with scholars based in India, United States and South Korea. Pankhuri Singhal's co-authors include McKensie Collins, Eugenio Marco, Shen Shen, Anand Kornepati, Gregory Gotta, Edward M. Kennedy, Hari Jayaram, Minerva E. Sanchez, Bryan R. Cullen and Ari E. Friedland and has published in prestigious journals such as Bioinformatics, The American Journal of Human Genetics and Genome biology.

In The Last Decade

Pankhuri Singhal

20 papers receiving 331 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pankhuri Singhal India 7 247 94 77 32 31 21 338
Lucie Studená United Kingdom 3 358 1.4× 61 0.6× 64 0.8× 35 1.1× 24 0.8× 4 395
Jonathan Chuck Germany 2 348 1.4× 48 0.5× 92 1.2× 28 0.9× 59 1.9× 2 358
Sushmitha Paulraj Lithuania 4 385 1.6× 91 1.0× 62 0.8× 43 1.3× 59 1.9× 5 398
Joshua F. Meckler United States 7 460 1.9× 93 1.0× 100 1.3× 12 0.4× 37 1.2× 8 507
Noah Jakimo United States 3 339 1.4× 50 0.5× 82 1.1× 39 1.2× 38 1.2× 4 343
Alejandro Vasquez-Rifo Canada 9 298 1.2× 31 0.3× 49 0.6× 26 0.8× 12 0.4× 11 368
Fatema A. Saifuddin United States 5 351 1.4× 32 0.3× 32 0.4× 19 0.6× 22 0.7× 5 371
Zoltán Ligeti Hungary 6 338 1.4× 50 0.5× 62 0.8× 30 0.9× 55 1.8× 10 348
Lyn’Al Nosaka United States 3 175 0.7× 21 0.2× 24 0.3× 36 1.1× 29 0.9× 3 196
Yuya Okuzaki Japan 7 173 0.7× 28 0.3× 61 0.8× 19 0.6× 24 0.8× 14 200

Countries citing papers authored by Pankhuri Singhal

Since Specialization
Citations

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

Fields of papers citing papers by Pankhuri Singhal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pankhuri Singhal

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

All Works

20 of 20 papers shown
1.
Singhal, Pankhuri, et al.. (2024). Evidence of true seed transmissible nature of turnip mosaic virus in mustard species. BMC Genomics. 25(1). 966–966. 1 indexed citations
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Singhal, Pankhuri, et al.. (2024). Bacterial blight: Once a menacing disease of cotton in India, now tamed and fading from research spotlight. Plant Pathology. 73(7). 1675–1690. 1 indexed citations
4.
Singhal, Pankhuri, Yogasudha Veturi, Scott Dudek, et al.. (2023). Evidence of epistasis in regions of long-range linkage disequilibrium across five complex diseases in the UK Biobank and eMERGE datasets. The American Journal of Human Genetics. 110(4). 575–591. 9 indexed citations
5.
Singhal, Pankhuri, Amelia L.M. Tan, Theodore G. Drivas, et al.. (2023). Opportunities and challenges for biomarker discovery using electronic health record data. Trends in Molecular Medicine. 29(9). 765–776. 9 indexed citations
6.
Singhal, Pankhuri, et al.. (2023). Genomic characterization of recombinant cucumber mosaic virus isolates infecting mustard species via HTS in India. Journal of Phytopathology. 171(7-8). 333–343. 2 indexed citations
7.
Sidharthan, V. Kavi, Pankhuri Singhal, Nandlal Choudhary, et al.. (2023). Multigene sequence analysis reveals occurrence of genetic variability in Candidatus Liberibacter asiaticus associated with Huanglongbing of Western and North-Eastern India. Indian Phytopathology. 2 indexed citations
8.
Singhal, Pankhuri, Shefali S. Verma, & Marylyn D. Ritchie. (2023). Gene Interactions in Human Disease Studies—Evidence Is Mounting. PubMed. 6(1). 377–395. 8 indexed citations
9.
Singhal, Pankhuri, Lindsay Guare, Anastasia Lucas, et al.. (2023). DETECT: Feature extraction method for disease trajectory modeling in electronic health records.. PubMed. 2023. 487–496. 2 indexed citations
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Jung, Sang‐Hyuk, Jae‐Seung Yun, Pankhuri Singhal, et al.. (2022). Discovering comorbid diseases using an inter-disease interactivity network based on biobank-scale PheWAS data. Bioinformatics. 39(1). 8 indexed citations
13.
Dubey, Abhishek, et al.. (2020). Effect of stage of mechanical inoculation on leaf crinkle disease development in urdbean (Vigna mungo L.) under controlled conditions. Journal of Pharmacognosy and Phytochemistry. 9(1). 1136–1139. 2 indexed citations
14.
Dubey, Abhishek, N.K. Gautam, Sajad Un Nabi, et al.. (2020). Symptom Based Screening of Urdbean Accessions against Leaf Crinkle, Bud Deformation and Yellow Mosaic under Natural Conditions. International Journal of Current Microbiology and Applied Sciences. 9(2). 1583–1588. 1 indexed citations
15.
Singhal, Pankhuri, Sajad Un Nabi, Manoj Kumar Yadav, & Abhishek Dubey. (2020). Mixed infection of plant viruses: diagnostics, interactions and impact on host. Journal of Plant Diseases and Protection. 128(2). 353–368. 51 indexed citations
16.
Singhal, Pankhuri, Shefali S. Verma, Scott Dudek, & Marylyn D. Ritchie. (2019). Neural network-based multiomics data integration in Alzheimer's disease. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 403–404. 3 indexed citations
17.
Singhal, Pankhuri, Shailender Kumar, Richa Rai, Sanjay Singh, & V. K. Baranwal. (2019). Characterization of viroids infecting grapevine in India. Indian Phytopathology. 72(2). 333–341. 3 indexed citations
18.
Singhal, Pankhuri, et al.. (2018). First Report of Grapevine Yellow Speckle Viroid-2 Infecting Grapevine (Vitis vinifera) in India. Plant Disease. 103(1). 166–166. 6 indexed citations
19.
Bumb, R A, et al.. (2017). Disseminated Herpes Zoster with Meningo-encephalitis.. PubMed. 55(4). 256–257. 1 indexed citations
20.
Friedland, Ari E., Pankhuri Singhal, Shen Shen, et al.. (2015). Characterization of Staphylococcus aureus Cas9: a smaller Cas9 for all-in-one adeno-associated virus delivery and paired nickase applications. Genome biology. 16(1). 257–257. 223 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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