Pankaj Jaiswal

29.1k total citations
81 papers, 2.7k citations indexed

About

Pankaj Jaiswal is a scholar working on Molecular Biology, Plant Science and Artificial Intelligence. According to data from OpenAlex, Pankaj Jaiswal has authored 81 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Molecular Biology, 38 papers in Plant Science and 14 papers in Artificial Intelligence. Recurrent topics in Pankaj Jaiswal's work include Genomics and Phylogenetic Studies (28 papers), Biomedical Text Mining and Ontologies (20 papers) and Genetic Mapping and Diversity in Plants and Animals (13 papers). Pankaj Jaiswal is often cited by papers focused on Genomics and Phylogenetic Studies (28 papers), Biomedical Text Mining and Ontologies (20 papers) and Genetic Mapping and Diversity in Plants and Animals (13 papers). Pankaj Jaiswal collaborates with scholars based in United States, United Kingdom and China. Pankaj Jaiswal's co-authors include Doreen Ware, Palitha Dharmawardhana, Susan R. McCouch, Sergei A. Filichkin, Justin Elser, Lincoln Stein, Todd C. Mockler, Laurel Cooper, Sushma Naithani and Anireddy S. N. Reddy and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and PLANT PHYSIOLOGY.

In The Last Decade

Pankaj Jaiswal

75 papers receiving 2.6k citations

Peers

Pankaj Jaiswal

GENET

EEBS

Jens Keilwagen Germany

Tanya Berardini United States

Xiaohui Yuan China

Anuradha Pujar United States

Christopher Wilks United States

Jan Grau Germany

Brigitte Boeckmann Switzerland

David R. Rank United States

Oliver Laule Switzerland

Jane M. Landolin United States

Jens Keilwagen Germany

Pankaj Jaiswal

1.7k ×1.0

1.3k ×0.9

573 ×1.0

GENET

99 ×0.6

202 ×1.9

EEBS

Citations per year, relative to Pankaj Jaiswal Pankaj Jaiswal (= 1×) peers Jens Keilwagen

Countries citing papers authored by Pankaj Jaiswal

Since Specialization

Citations

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

Fields of papers citing papers by Pankaj Jaiswal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pankaj Jaiswal

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

All Works

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20 of 20 papers shown

Jaiswal, Pankaj, et al.. (2025). Energy transfer dynamics and spectrally resolved upconversion emission in Er3+-Yb3+ activated sodium yttrium molybdate. Materials Science in Semiconductor Processing. 202. 110197–110197.

Gupta, Parul & Pankaj Jaiswal. (2024). Transcriptional Modulation During Photomorphogenesis in Rice Seedlings. Genes. 15(8). 1072–1072.

Gupta, Parul, Matthew Geniza, Justin Elser, et al.. (2023). Reference genome of the nutrition-rich orphan crop chia (Salvia hispanica) and its implications for future breeding. Frontiers in Plant Science. 14. 1272966–1272966. 8 indexed citations

Barker, Richard, Colin P. S. Kruse, Christina M. Johnson, et al.. (2023). Meta-analysis of the space flight and microgravity response of the Arabidopsis plant transcriptome. npj Microgravity. 9(1). 21–21. 24 indexed citations

Naithani, Sushma, Cecilia Deng, Sunil Kumar Sahu, & Pankaj Jaiswal. (2023). Exploring Pan-Genomes: An Overview of Resources and Tools for Unraveling Structure, Function, and Evolution of Crop Genes and Genomes. Biomolecules. 13(9). 1403–1403. 11 indexed citations

Naithani, Sushma, Bijayalaxmi Mohanty, Justin Elser, Peter D’Eustachio, & Pankaj Jaiswal. (2023). Biocuration of a Transcription Factors Network Involved in Submergence Tolerance during Seed Germination and Coleoptile Elongation in Rice (Oryza sativa). Plants. 12(11). 2146–2146. 10 indexed citations

Gupta, Parul, Sushma Naithani, Justin Preece, et al.. (2022). Plant Reactome and PubChem: The Plant Pathway and (Bio)Chemical Entity Knowledgebases. Methods in molecular biology. 2443. 511–525. 8 indexed citations

Sullivan, Christopher M., et al.. (2021). A cost‐effective maize ear phenotyping platform enables rapid categorization and quantification of kernels. The Plant Journal. 106(2). 566–579. 26 indexed citations

Martin, Matthew T., Anaamika Campeau, Jacob M. Wozniak, et al.. (2019). Quantitative analysis of Mycobacterium avium subsp. hominissuis proteome in response to antibiotics and during exposure to different environmental conditions. Clinical Proteomics. 16(1). 39–39. 26 indexed citations

10.

Gupta, Amit, et al.. (2018). Domain Informational Vocabulary Extraction Experiences with Publication Pipeline Integration and Ontology Curation.. 1 indexed citations

11.

Naithani, Sushma, Parul Gupta, Justin Preece, et al.. (2018). Involving community in genes and pathway curation. Database. 2019. 8 indexed citations

12.

Cooper, Laurel, Marie‐Angélique Laporte, Justin Elser, et al.. (2017). The Planteome database: an integrated resource for reference ontologies, plant genomics and phenomics. Nucleic Acids Research. 46(D1). D1168–D1180. 114 indexed citations

13.

Naithani, Sushma, Justin Preece, Peter D’Eustachio, et al.. (2016). Plant Reactome: a resource for plant pathways and comparative analysis. Nucleic Acids Research. 45(D1). D1029–D1039. 41 indexed citations

14.

Jaiswal, Pankaj, Laurel Cooper, Justin Elser, et al.. (2016). Planteome: A resource for Common Reference Ontologies and Applications for Plant Biology. CGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research). 2 indexed citations

15.

Naithani, Sushma & Pankaj Jaiswal. (2016). Pathway Analysis and Omics Data Visualization Using Pathway Genome Databases: FragariaCyc, a Case Study. Methods in molecular biology. 1533. 241–256. 3 indexed citations

16.

Cooper, Laurel & Pankaj Jaiswal. (2015). The Plant Ontology: A Tool for Plant Genomics. Methods in molecular biology. 1374. 89–114. 29 indexed citations

17.

Filichkin, Sergei A., Jason S. Cumbie, Pankaj Jaiswal, et al.. (2014). Environmental Stresses Modulate Abundance and Timing of Alternatively Spliced Circadian Transcripts in Arabidopsis. Molecular Plant. 56 indexed citations

18.

Naithani, Sushma, et al.. (2014). VitisCyc: a metabolic pathway knowledgebase for grapevine (Vitis vinifera). Frontiers in Plant Science. 5. 644–644. 20 indexed citations

19.

Dharmawardhana, Palitha, Liya Ren, Vindhya Amarasinghe, et al.. (2013). A genome scale metabolic network for rice and accompanying analysis of tryptophan, auxin and serotonin biosynthesis regulation under biotic stress. Rice. 6(1). 15–15. 71 indexed citations

20.

Walls, Ramona, Hong Cui, James Macklin, et al.. (2012). Mapping of glossary terms from the Flora of North America to the Plant Ontology enhances both resources..

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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