Subhashini Srinivasan

565 total citations
22 papers, 280 citations indexed

About

Subhashini Srinivasan is a scholar working on Molecular Biology, Plant Science and Insect Science. According to data from OpenAlex, Subhashini Srinivasan has authored 22 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 7 papers in Plant Science and 5 papers in Insect Science. Recurrent topics in Subhashini Srinivasan's work include Genomics and Phylogenetic Studies (6 papers), Cancer-related molecular mechanisms research (4 papers) and RNA Research and Splicing (4 papers). Subhashini Srinivasan is often cited by papers focused on Genomics and Phylogenetic Studies (6 papers), Cancer-related molecular mechanisms research (4 papers) and RNA Research and Splicing (4 papers). Subhashini Srinivasan collaborates with scholars based in India, United States and Italy. Subhashini Srinivasan's co-authors include Bibha Choudhary, Pushpinder Bawa, Saurabh Gupta, Arun K Hariharan, Binay Panda, Ravi Gupta, Suresh Subramani, Mohit Verma, Kiran Paul and Piergiorgio Stevanato and has published in prestigious journals such as PLoS ONE, Scientific Reports and Frontiers in Plant Science.

In The Last Decade

Subhashini Srinivasan

22 papers receiving 270 citations

Peers

Subhashini Srinivasan
Subhashini Srinivasan
Citations per year, relative to Subhashini Srinivasan Subhashini Srinivasan (= 1×) peers Karthikeyan Subbiahanadar Chelladurai

Countries citing papers authored by Subhashini Srinivasan

Since Specialization
Citations

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

Fields of papers citing papers by Subhashini Srinivasan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Subhashini Srinivasan

This figure shows the co-authorship network connecting the top 25 collaborators of Subhashini Srinivasan. A scholar is included among the top collaborators of Subhashini Srinivasan 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 Subhashini Srinivasan. Subhashini Srinivasan 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.
Ghosh, Chaitali, Naveen Kumar, Raja Babu Singh Kushwah, et al.. (2023). Enrichment of phenotype among biological forms of Anopheles stephensi Liston through establishment of isofemale lines. Parasites & Vectors. 16(1). 79–79. 2 indexed citations
2.
Bawa, Pushpinder, et al.. (2022). Whole-exome sequencing of Indian prostate cancer reveals a novel therapeutic target: POLQ. Journal of Cancer Research and Clinical Oncology. 149(6). 2451–2462. 9 indexed citations
3.
Srinivasan, Subhashini, Chaitali Ghosh, Vikrant Singh, et al.. (2022). Identification of a TNF-TNFR-like system in malaria vectors (Anopheles stephensi) likely to influence Plasmodium resistance. Scientific Reports. 12(1). 19079–19079. 6 indexed citations
4.
Ghosh, Chaitali, Naveen Kumar, Kiran Paul, et al.. (2022). The genome trilogy of Anopheles stephensi, an urban malaria vector, reveals structure of a locus associated with adaptation to environmental heterogeneity. Scientific Reports. 12(1). 3610–3610. 11 indexed citations
5.
Campagna, Giovanni, Chiara Broccanello, Claudia Chiodi, et al.. (2021). SNP Alleles Associated With Low Bolting Tendency in Sugar Beet. Frontiers in Plant Science. 12. 693285–693285. 8 indexed citations
6.
Chakraborty, Mahul, Arunachalam Ramaiah, Adriana Adolfi, et al.. (2021). Hidden genomic features of an invasive malaria vector, Anopheles stephensi, revealed by a chromosome-level genome assembly. BMC Biology. 19(1). 28–28. 24 indexed citations
7.
Bawa, Pushpinder, et al.. (2021). Multidimensional Mutational Profiling of the Indian HNSCC Sub-Population Provides IRAK1, a Novel Driver Gene and Potential Druggable Target. Frontiers in Oncology. 11. 723162–723162. 9 indexed citations
8.
Heidari, Bahram, Elena Orsini, Jinquan Li, et al.. (2021). Development of an SNP Assay for Marker-Assisted Selection of Soil-Borne Rhizoctonia solani AG-2-2-IIIB Resistance in Sugar Beet. Biology. 11(1). 49–49. 16 indexed citations
9.
Yasir, Muhammad, Ahmad Kaleem Qureshi, Subhashini Srinivasan, et al.. (2020). Domination of Filamentous Anoxygenic Phototrophic Bacteria and Prediction of Metabolic Pathways in Microbial Mats from the Hot Springs of Al Aridhah. Folia Biologica. 66(1). 24–35. 6 indexed citations
10.
Choudhary, Bibha, et al.. (2020). Classification of Grain Amaranths Using Chromosome-Level Genome Assembly of Ramdana, A. hypochondriacus. Frontiers in Plant Science. 11. 579529–579529. 9 indexed citations
11.
Sharma, Amit Kumar, et al.. (2019). Early splicing functions of fission yeast Prp16 and its unexpected requirement for gene Silencing is governed by intronic features. RNA Biology. 16(6). 754–769. 7 indexed citations
12.
Trebbi, Daniele, Chiara Broccanello, Claudia Chiodi, et al.. (2019). Identification and validation of SNP markers linked to seed toxicity in Jatropha curcas L. Scientific Reports. 9(1). 10220–10220. 7 indexed citations
13.
Bawa, Pushpinder, et al.. (2019). hg19KIndel: ethnicity normalized human reference genome. BMC Genomics. 20(1). 459–459. 6 indexed citations
14.
Bulagonda, Eswarappa Pradeep, et al.. (2018). A novel loss-of-function mutation in HACE1 is linked to a genetic disorder in a patient from India. Human Genome Variation. 5(1). 17061–17061. 10 indexed citations
15.
Bawa, Pushpinder, et al.. (2018). A novel molecular mechanism for a long non-coding RNA PCAT92 implicated in prostate cancer. Oncotarget. 9(65). 32419–32434. 5 indexed citations
16.
Choudhary, Bibha, et al.. (2017). Differential genomic arrangements in Caryophyllales through deep transcriptome sequencing of A. hypochondriacus. PLoS ONE. 12(8). e0180528–e0180528. 3 indexed citations
17.
Karthikeyan, Savita, Pushpinder Bawa, & Subhashini Srinivasan. (2016). hg19K: addressing a significant lacuna in hg19‐based variant calling. Molecular Genetics & Genomic Medicine. 5(1). 15–20. 4 indexed citations
18.
Bawa, Pushpinder, et al.. (2015). Integrative Analysis of Normal Long Intergenic Non-Coding RNAs in Prostate Cancer. PLoS ONE. 10(5). e0122143–e0122143. 28 indexed citations
19.
Hariharan, Arun K, Saurabh Gupta, Ravi Gupta, et al.. (2014). The Draft Genome and Transcriptome of Amaranthus hypochondriacus: A C4 Dicot Producing High-Lysine Edible Pseudo-Cereal. DNA Research. 21(6). 585–602. 41 indexed citations
20.
Srinivasan, Subhashini, et al.. (2012). Genome-wide Profiling of RNA splicing in prostate tumor from RNA-seq data using virtual microarrays. PubMed. 2(1). 21–21. 2 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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