Sangeeta Singh

975 total citations
31 papers, 473 citations indexed

About

Sangeeta Singh is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Sangeeta Singh has authored 31 papers receiving a total of 473 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Plant Science, 4 papers in Molecular Biology and 4 papers in Genetics. Recurrent topics in Sangeeta Singh's work include Agricultural pest management studies (7 papers), Genetic and Environmental Crop Studies (5 papers) and Genetic Mapping and Diversity in Plants and Animals (4 papers). Sangeeta Singh is often cited by papers focused on Agricultural pest management studies (7 papers), Genetic and Environmental Crop Studies (5 papers) and Genetic Mapping and Diversity in Plants and Animals (4 papers). Sangeeta Singh collaborates with scholars based in India, United States and Poland. Sangeeta Singh's co-authors include Nagendra Kumar Singh, Kishor Gaikwad, R.S. Raje, Sutapa Dutta, B. P. Singh, Giriraj Kumawat, Tilak Raj Sharma, Subhojit Datta, B. Fakrudin and Douglas R. Cook and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Sangeeta Singh

23 papers receiving 463 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sangeeta Singh India 11 336 123 99 43 32 31 473
Xuqin Yang China 9 244 0.7× 137 1.1× 135 1.4× 10 0.2× 36 1.1× 16 373
Kristian Mark P. Caldo Canada 16 233 0.7× 363 3.0× 47 0.5× 20 0.5× 31 1.0× 23 592
Xiaoguang Sheng China 14 388 1.2× 348 2.8× 72 0.7× 35 0.8× 15 0.5× 40 503
Yongxiang Liao China 11 294 0.9× 168 1.4× 60 0.6× 21 0.5× 25 0.8× 24 427
Grace Q. Chen United States 17 307 0.9× 440 3.6× 41 0.4× 13 0.3× 30 0.9× 41 718
Zhenqing Zhao China 12 261 0.8× 243 2.0× 52 0.5× 31 0.7× 12 0.4× 29 354
Dabin Hou China 9 207 0.6× 124 1.0× 31 0.3× 11 0.3× 15 0.5× 27 331
P. Nazeem India 11 178 0.5× 130 1.1× 27 0.3× 7 0.2× 35 1.1× 59 365
Rosa Rao Italy 7 230 0.7× 239 1.9× 48 0.5× 134 3.1× 11 0.3× 9 483

Countries citing papers authored by Sangeeta Singh

Since Specialization
Citations

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

Fields of papers citing papers by Sangeeta Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sangeeta Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Sangeeta Singh. A scholar is included among the top collaborators of Sangeeta Singh 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 Sangeeta Singh. Sangeeta Singh 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
4.
Singh, B. P., Sangeeta Singh, Ajay Kumar Mahato, et al.. (2023). Delineation of novel genomic loci and putative candidate genes associated with seed iron and zinc content in lentil (Lens culinaris Medik.). Plant Science. 335. 111787–111787. 4 indexed citations
5.
Tiwari, Sushma, M. K. Tripathi, Sangeeta Singh, et al.. (2023). Effect of Different Biochemical Parameters and Antioxidant Enzymes Activities on Drought Indices in Chickpea (Cicer arietinum L.). Legume Research - An International Journal. 1 indexed citations
6.
Tiwari, Sushma, Neha Gupta, M. K. Tripathi, et al.. (2023). Validating the Nutraceutical Significance of Minor Millets by Employing Nutritional–Antinutritional Profiling. Life. 13(9). 1918–1918. 12 indexed citations
7.
Singh, Sangeeta, et al.. (2022). Smoking, glutathione S transferase polymorphisms (GSTM1 & GSTT1) and their association with selected inflammatory biomarkers. SHILAP Revista de lepidopterología.
8.
Srivastav, Manish, Sanjay Singh, Jai Prakash, et al.. (2021). New hyper-variable SSRs for diversity analysis in mango (Mangifera indica L.). Indian Journal of Genetics and Plant Breeding (The). 81(1). 119–126. 8 indexed citations
9.
Singh, Sangeeta, Muhammad Arif, Tarique Mahmood, et al.. (2021). Reckoning of antioxidant and antiobesity potential of Anethum sowa L. roots extract in experimental rodent model. Annals of Phytomedicine An International Journal. 10(2). 2 indexed citations
10.
Singh, P. K., Yashi Singh, Ajay Kumar Mahato, et al.. (2020). Allelic sequence variation in the Sub1A, Sub1B and Sub1C genes among diverse rice cultivars and its association with submergence tolerance. Scientific Reports. 10(1). 8621–8621. 17 indexed citations
11.
Singh, Sangeeta, Ajay Kumar Mahato, Pawan Kumar Jayaswal, et al.. (2020). A 62K genic-SNP chip array for genetic studies and breeding applications in pigeonpea (Cajanus cajan L. Millsp.). Scientific Reports. 10(1). 4960–4960. 19 indexed citations
12.
Pradhan, Sharat Kumar, et al.. (2019). Association mapping reveals multiple QTLs for grain protein content in rice useful for biofortification. Molecular Genetics and Genomics. 294(4). 963–983. 32 indexed citations
13.
Barik, Saumya Ranjan, Elssa Pandit, Sharat Kumar Pradhan, et al.. (2018). QTL mapping for relative water content trait at reproductive stage drought stress in rice. Indian Journal of Genetics and Plant Breeding (The). 78(4). 401–408. 15 indexed citations
14.
Singh, Sangeeta, et al.. (2018). Inflorescence gall problem of Prosopis cineraria in Rajasthan.. PLANT ARCHIVES. 18(2). 1248–1250.
15.
Mahato, Ajay Kumar, Sangeeta Singh, Sutapa Dutta, et al.. (2017). A high-density intraspecific SNP linkage map of pigeonpea (Cajanas cajan L. Millsp.). PLoS ONE. 12(6). e0179747–e0179747. 12 indexed citations
16.
Singh, Sangeeta, Suresh Chand, Nagendra Kumar Singh, & Tilak Raj Sharma. (2015). Genome-Wide Distribution, Organisation and Functional Characterization of Disease Resistance and Defence Response Genes across Rice Species. PLoS ONE. 10(4). e0125964–e0125964. 36 indexed citations
17.
Dutta, Sutapa, Giriraj Kumawat, B. P. Singh, et al.. (2011). Development of genic-SSR markers by deep transcriptome sequencing in pigeonpea [Cajanus cajan (L.) Millspaugh]. BMC Plant Biology. 11(1). 17–17. 218 indexed citations
18.
Sashidhara, Koneni V., Abdhesh Kumar, M. Kumar, et al.. (2011). Synthesis of novel 3-carboxamide-benzocoumarin derivatives as orally active antithrombotic agents. Bioorganic & Medicinal Chemistry Letters. 21(23). 7034–7040. 29 indexed citations
19.
Sharma, Preeti, Sangeeta Singh, Bijoy Kundu, et al.. (2006). α-Amino acid derivatives as proton pump inhibitors and potent anti-ulcer agents. European Journal of Medicinal Chemistry. 42(3). 386–393. 15 indexed citations
20.
Dikshit, Dinesh K. & Sangeeta Singh. (1988). 1,2-addition of ∝-amino acid derivatives to conjugated aldehydes: synthesis of β -substituted serines. Tetrahedron Letters. 29(25). 3109–3110. 12 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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