Pankhuri Singhal
Impact in
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- Innovation and Socioeconomic Development
Papers in
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- Plant Virus Research Studies 11
- Plant Parasitism and Resistance 3
- Plant Pathogenic Bacteria Studies 2
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- Bioinformatics and Genomic Networks 4
- CRISPR and Genetic Engineering 2
- Co-authors
- Anand Kornepati (1 shared paper)Gregory Gotta (1 shared paper)Ari E. Friedland (1 shared paper)Shen Shen (1 shared paper)Eugenio Marco (1 shared paper)McKensie Collins (1 shared paper)David Bumcrot (1 shared paper)Minerva E. Sanchez (1 shared paper)
- Journals
- Trends in Molecular Medicine (1 paper)Bioinformatics (1 paper)Plant Disease (1 paper)The American Journal of Human Genetics (1 paper)BMC Genomics (1 paper)
- Partner nations
- IndiaUnited StatesSouth Korea
In The Last Decade
Pankhuri Singhal
20 papers receiving 331 citations
Peers
Comparison fields: 5 of 62
- Business and International Management 31
- Aging 17
- Horticulture 5
- Endocrinology 25
- Molecular Biology 247
Countries citing papers authored by Pankhuri Singhal
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
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-authors
The 25 scholars most cited alongside Pankhuri Singhal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 223 | |
| 2 | 2020 | 51 | |
| 3 | 2023 | 9 | |
| 4 | 2023 | 9 | |
| 5 | 2023 | 8 | |
| 6 | 2022 | 8 | |
| 7 | 2018 | 6 | |
| 8 | 2019 | 3 | |
| 9 | 2019 | 3 | |
| 10 | 2022 | 3 | |
| 11 | Effect of stage of mechanical inoculation on leaf crinkle disease development in urdbean (Vigna mungo L.) under controlled conditions | 2020 | 2 |
| 12 | 2023 | 2 | |
| 13 | 2023 | 2 | |
| 14 | 2022 | 2 | |
| 15 | DETECT: Feature extraction method for disease trajectory modeling in electronic health records. | 2023 | 2 |
| 16 | 2024 | 1 | |
| 17 | 2022 | 1 | |
| 18 | 2020 | 1 | |
| 19 | 2024 | 1 | |
| 20 | Disseminated Herpes Zoster with Meningo-encephalitis. | 2017 | 1 |
About Pankhuri Singhal
Pankhuri Singhal is a scholar working on Plant Science, Molecular Biology, Endocrinology, Epidemiology and Genetics, having authored 21 papers that have together received 338 indexed citations. Recurring topics across this work include Plant Virus Research Studies (11 papers), Plant and Fungal Interactions Research (7 papers), Bioinformatics and Genomic Networks (4 papers), Genetic Associations and Epidemiology (3 papers), Plant Parasitism and Resistance (3 papers), Insect-Plant Interactions and Control (2 papers), CRISPR and Genetic Engineering (2 papers) and Plant Pathogenic Bacteria Studies (2 papers). The work is most often cited by research in Business and International Management (31 citations), Aging (17 citations), Horticulture (5 citations), Endocrinology (25 citations) and Molecular Biology (247 citations). Pankhuri Singhal has collaborated with scholars based in India, United States and South Korea. Frequent co-authors include Anand Kornepati, Gregory Gotta, Ari E. Friedland, Shen Shen, Eugenio Marco, McKensie Collins, David Bumcrot, Minerva E. Sanchez, Hari Jayaram and Edward M. Kennedy. Their work appears in journals such as Trends in Molecular Medicine, Bioinformatics, Plant Disease, The American Journal of Human Genetics and BMC Genomics.
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.