Shivani Dixit

638 total citations
57 papers, 380 citations indexed

About

Shivani Dixit is a scholar working on Genetics, Molecular Biology and Ophthalmology. According to data from OpenAlex, Shivani Dixit has authored 57 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Genetics, 30 papers in Molecular Biology and 8 papers in Ophthalmology. Recurrent topics in Shivani Dixit's work include Forensic and Genetic Research (35 papers), Molecular Biology Techniques and Applications (18 papers) and Identification and Quantification in Food (18 papers). Shivani Dixit is often cited by papers focused on Forensic and Genetic Research (35 papers), Molecular Biology Techniques and Applications (18 papers) and Identification and Quantification in Food (18 papers). Shivani Dixit collaborates with scholars based in India, United States and Netherlands. Shivani Dixit's co-authors include Pankaj Shrivastava, R. K. Kumawat, Sathi Devi, Harsha L. Rao, Zia S. Pradhan, Carroll A.B. Webers, Divya Shrivastava, Jayasree P. Venugopal, Gyaneshwer Chaubey and Kamlesh Kaitholia and has published in prestigious journals such as PLoS ONE, Nature Chemical Biology and Sensors.

In The Last Decade

Shivani Dixit

51 papers receiving 374 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shivani Dixit India 12 165 160 120 96 27 57 380
Thales A. C. de Guimarães United Kingdom 10 42 0.3× 284 1.8× 298 2.5× 147 1.5× 6 0.2× 29 460
Shaochong Bu China 10 21 0.1× 132 0.8× 349 2.9× 347 3.6× 47 1.7× 29 460
Bhubanananda Sahu United States 13 40 0.2× 276 1.7× 122 1.0× 36 0.4× 6 0.2× 21 344
Shijing Wu China 10 46 0.3× 183 1.1× 113 0.9× 42 0.4× 3 0.1× 31 306
Daniyar Dauletbekov Germany 7 153 0.9× 320 2.0× 137 1.1× 38 0.4× 3 0.1× 9 391
Demelza Koehn United States 9 20 0.1× 116 0.7× 154 1.3× 70 0.7× 8 0.3× 10 260
Maximilian Gerhardt Germany 9 66 0.4× 164 1.0× 88 0.7× 35 0.4× 20 0.7× 21 254
Maria I. Patrício United Kingdom 13 166 1.0× 420 2.6× 208 1.7× 71 0.7× 3 0.1× 23 482
G. Alex Ochakovski Germany 9 157 1.0× 409 2.6× 279 2.3× 139 1.4× 5 0.2× 14 502
Shilpa J. Desai United States 6 54 0.3× 161 1.0× 212 1.8× 118 1.2× 12 0.4× 14 289

Countries citing papers authored by Shivani Dixit

Since Specialization
Citations

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

Fields of papers citing papers by Shivani Dixit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shivani Dixit

This figure shows the co-authorship network connecting the top 25 collaborators of Shivani Dixit. A scholar is included among the top collaborators of Shivani Dixit 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 Shivani Dixit. Shivani Dixit 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.
Dixit, Shivani, Pankaj Shrivastav, Madhusudan R. Nandineni, et al.. (2025). Forensic and phylogenetic characterization of 24 autosomal STR in the Sindhi population of India. Gene Reports. 40. 102234–102234.
2.
Dixit, Shivani, et al.. (2025). Cultivating digital culture: exploring the impact of digital knowledge management on employee performance in higher educational institutions. International Journal of Systems Assurance Engineering and Management.
4.
Dixit, Shivani, R. K. Kumawat, Nematollah Ahangar, et al.. (2024). Exploring the genetic implications of demographic dynamics in Jammu and Kashmir using autosomal STRs. International Journal of Legal Medicine. 139(2). 563–570. 1 indexed citations
5.
Shrivastava, Pankaj, Shivani Dixit, R. K. Kumawat, Divya Shrivastava, & Gyaneshwer Chaubey. (2023). Validation study of 6 dye-based SF25™ PCR amplification kit. Human Gene. 37. 201205–201205. 1 indexed citations
6.
Mori, Yuki, Shivani Dixit, Akinori Endo, et al.. (2022). cIAP1-based degraders induce degradation via branched ubiquitin architectures. Nature Chemical Biology. 19(3). 311–322. 25 indexed citations
7.
Sharma, Arun, Naresh Kumar, R. K. Kumawat, et al.. (2021). Molecular characterization and forensic relevance of the autosomal STRs for the population of North Indian geographical province Himachal Pradesh, India. Legal Medicine. 53. 101958–101958. 1 indexed citations
8.
Srivastava, Ankit, Kishor Kumar Das, Akash Kumar, et al.. (2021). Forensic characterization and genomic diversity of Assam population viewed from 23 autosomal STRs. International Journal of Legal Medicine. 135(6). 2307–2308. 5 indexed citations
9.
Kaitholia, Kamlesh, Hirak Ranjan Dash, Pankaj Shrivastava, et al.. (2021). Forensic characterization and genetic evaluation in the Central Indian population using 27 Y-STRs. International Journal of Legal Medicine. 135(3). 791–792. 3 indexed citations
11.
Badiye, Ashish, Neeti Kapoor, R. K. Kumawat, et al.. (2021). A study of genomic diversity in populations of Maharashtra, India, inferred from 20 autosomal STR markers. BMC Research Notes. 14(1). 69–69. 5 indexed citations
12.
Kumawat, R. K., Ashish Badiye, Ankit Srivastava, et al.. (2021). Genetic diversity and forensic characterization of 15 autosomal microsatellite markers in the North-east Indian Tripuri population. International Journal of Legal Medicine. 135(5). 1797–1798. 2 indexed citations
13.
Kumawat, R. K., et al.. (2020). Genetic variation of 20 autosomal STRs in Jats belonging to Delhi, India. International Journal of Legal Medicine. 135(3). 771–773. 2 indexed citations
14.
Shrivastava, Pankaj, et al.. (2020). Allelic frequency database of 15 polymorphic autosomal STRs in the Malayalam-speaking population of Kerala, India. International Journal of Legal Medicine. 134(5). 1679–1681. 11 indexed citations
15.
16.
Shrivastava, Pankaj, et al.. (2020). A genomic exploration of 15 autosomal STR loci for establishment of a DNA profile database of the population of Himachal Pradesh. Legal Medicine. 46. 101719–101719. 7 indexed citations
17.
Shrivastava, Pankaj, Kamlesh Kaitholia, R. K. Kumawat, et al.. (2019). Forensic effectiveness and genetic distribution of 23 autosomal STRs included in Verifiler PlusTM multiplex in a population sample from Madhya Pradesh, India. International Journal of Legal Medicine. 134(4). 1327–1328. 8 indexed citations
18.
Dixit, Shivani, Pankaj Shrivastava, R. K. Kumawat, et al.. (2019). Forensic genetic analysis of population of Madhya Pradesh with PowerPlex Fusion 6C™ Multiplex System. International Journal of Legal Medicine. 133(3). 803–805. 25 indexed citations
19.
Srivastava, Ankit, R. K. Kumawat, Shivani Dixit, et al.. (2019). Genetic data for PowerPlex 21™ autosomal and PowerPlex 23 Y-STR™ loci from population of the state of Uttar Pradesh, India. International Journal of Legal Medicine. 133(5). 1381–1383. 29 indexed citations
20.
Pradhan, Zia S., Shivani Dixit, Harsha L. Rao, et al.. (2018). Does the Presence of a Disc Hemorrhage Affect OCT-Measured Vessel Density and Retinal Nerve Fiber Layer Thickness?. Ophthalmology Glaucoma. 1(3). 152–157. 3 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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