Shadi Shokralla

6.0k total citations · 1 hit paper
51 papers, 4.0k citations indexed

About

Shadi Shokralla is a scholar working on Molecular Biology, Ecology and Plant Science. According to data from OpenAlex, Shadi Shokralla has authored 51 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 22 papers in Ecology and 13 papers in Plant Science. Recurrent topics in Shadi Shokralla's work include Environmental DNA in Biodiversity Studies (20 papers), Identification and Quantification in Food (13 papers) and Microbial Community Ecology and Physiology (10 papers). Shadi Shokralla is often cited by papers focused on Environmental DNA in Biodiversity Studies (20 papers), Identification and Quantification in Food (13 papers) and Microbial Community Ecology and Physiology (10 papers). Shadi Shokralla collaborates with scholars based in Canada, Egypt and United States. Shadi Shokralla's co-authors include Mehrdad Hajibabaei, Joel F. Gibson, Donald J. Baird, Gregory A. C. Singer, Xin Zhou, Daniel H. Janzen, Winnie Hallwachs, Teresita M. Porter, Ian W. King and Mostafa Ronaghi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Shadi Shokralla

51 papers receiving 4.0k citations

Hit Papers

Next‐generation sequencing technologies for environmental... 2012 2026 2016 2021 2012 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shadi Shokralla Canada 27 2.4k 2.2k 471 438 364 51 4.0k
Kassian Kobert Germany 6 1.7k 0.7× 1.4k 0.6× 588 1.2× 664 1.5× 438 1.2× 10 4.0k
Han Ming Gan Malaysia 32 2.1k 0.9× 1.5k 0.7× 461 1.0× 469 1.1× 198 0.5× 235 4.0k
Andrea Galimberti Italy 33 1.3k 0.5× 1.0k 0.5× 596 1.3× 577 1.3× 795 2.2× 111 3.4k
Antonis Chatzinotas Germany 35 1.9k 0.8× 2.6k 1.1× 981 2.1× 210 0.5× 299 0.8× 100 4.9k
Daniel S. Read United Kingdom 35 1.4k 0.6× 1.9k 0.8× 331 0.7× 124 0.3× 290 0.8× 84 4.2k
Guilherme Oliveira Brazil 37 1.4k 0.6× 1.4k 0.6× 533 1.1× 311 0.7× 341 0.9× 257 5.0k
Satoshi Yamamoto Japan 35 3.8k 1.6× 3.4k 1.5× 1.6k 3.3× 273 0.6× 484 1.3× 136 7.0k
Michael S. Robeson United States 26 1.5k 0.6× 1.9k 0.8× 814 1.7× 167 0.4× 296 0.8× 59 3.7k
Rachel J. Whitaker United States 32 2.6k 1.1× 2.3k 1.0× 471 1.0× 792 1.8× 138 0.4× 85 4.2k

Countries citing papers authored by Shadi Shokralla

Since Specialization
Citations

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

Fields of papers citing papers by Shadi Shokralla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shadi Shokralla

This figure shows the co-authorship network connecting the top 25 collaborators of Shadi Shokralla. A scholar is included among the top collaborators of Shadi Shokralla 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 Shadi Shokralla. Shadi Shokralla 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.
Ng, Justin H. J., Andrew Gorzalski, Adam Allred, et al.. (2024). The Next Frontier in Tuberculosis Investigation: Automated Whole Genome Sequencing for Mycobacterium tuberculosis Analysis. International Journal of Molecular Sciences. 25(14). 7909–7909. 4 indexed citations
2.
Yessoufou, Kowiyou, et al.. (2022). Time, Mediated through Plant Versatility, Is a Better Predictor of Medicinal Status of Alien Plants. Diversity. 14(4). 286–286. 1 indexed citations
3.
Ahsan, Muhammad, Muhammad Nafees, Muhammad Amin, et al.. (2022). Nutrients Uptake and Accumulation in Plant Parts of Fragrant Rosa Species Irrigated with Treated and Untreated Wastewater. Plants. 11(9). 1260–1260. 7 indexed citations
4.
SINGH, Y V, Neelam Jain, Ram Swaroop Bana, et al.. (2022). Impact of Safe Rock® Minerals, Mineral Fertilizers, and Manure on the Quantity and Quality of the Wheat Yield in the Rice–Wheat Cropping System. Plants. 11(2). 183–183. 6 indexed citations
5.
Pramesh, D., Shankarappa Sridhara, M. K. Naik, et al.. (2022). Spatial distribution and identification of potential risk regions to rice blast disease in different rice ecosystems of Karnataka. Scientific Reports. 12(1). 7403–7403. 12 indexed citations
6.
Tanna, Bhakti, Babita Choudhary, Avinash Mishra, et al.. (2021). Antioxidant, Scavenging, Reducing, and Anti-Proliferative Activities of Selected Tropical Brown Seaweeds Confirm the Nutraceutical Potential of Spatoglossum asperum. Foods. 10(10). 2482–2482. 19 indexed citations
7.
Padaria, R.N., Anil K. Choudhary, Anchal Dass, et al.. (2021). Climate Change-Induced Drought Impacts, Adaptation and Mitigation Measures in Semi-Arid Pastoral and Agricultural Watersheds. Sustainability. 14(1). 6–6. 15 indexed citations
9.
Staley, Zachery R., Stephen J. Hill, Josey Grabuski, et al.. (2018). Fecal source tracking and eDNA profiling in an urban creek following an extreme rain event. Scientific Reports. 8(1). 14390–14390. 33 indexed citations
10.
Mottawea, Walid, Cheng‐Kang Chiang, Marcus Mühlbauer, et al.. (2016). Altered intestinal microbiota–host mitochondria crosstalk in new onset Crohn’s disease. Nature Communications. 7(1). 13419–13419. 328 indexed citations
11.
Gibson, Joel F., Shadi Shokralla, Donald J. Baird, et al.. (2015). Large-Scale Biomonitoring of Remote and Threatened Ecosystems via High-Throughput Sequencing. PLoS ONE. 10(10). e0138432–e0138432. 138 indexed citations
12.
Shokralla, Shadi, Rosalee S. Hellberg, Sara M. Handy, Ian W. King, & Mehrdad Hajibabaei. (2015). A DNA Mini-Barcoding System for Authentication of Processed Fish Products. Scientific Reports. 5(1). 15894–15894. 159 indexed citations
13.
Shokralla, Shadi, Teresita M. Porter, Joel F. Gibson, et al.. (2015). Massively parallel multiplex DNA sequencing for specimen identification using an Illumina MiSeq platform. Scientific Reports. 5(1). 9687–9687. 200 indexed citations
16.
Babrzadeh, Farbod, Roxana Jalili, Chun‐Lin Wang, et al.. (2012). Whole-genome sequencing of the efficient industrial fuel-ethanol fermentative Saccharomyces cerevisiae strain CAT-1. Molecular Genetics and Genomics. 287(6). 485–494. 68 indexed citations
17.
Hajibabaei, Mehrdad, Shadi Shokralla, Xin Zhou, Gregory A. C. Singer, & Donald J. Baird. (2011). Environmental Barcoding: A Next-Generation Sequencing Approach for Biomonitoring Applications Using River Benthos. PLoS ONE. 6(4). e17497–e17497. 414 indexed citations
18.
Shokralla, Shadi, Roxana Jalili, J. William Langston, et al.. (2008). High Throughput Automated Allele Frequency Estimation by Pyrosequencing. PLoS ONE. 3(7). e2693–e2693. 18 indexed citations
19.
Parameswaran, Poornima, Roxana Jalili, Li Tao, et al.. (2007). A pyrosequencing-tailored nucleotide barcode design unveils opportunities for large-scale sample multiplexing. Nucleic Acids Research. 35(19). e130–e130. 271 indexed citations
20.
Ronaghi, Mostafa, Shadi Shokralla, & Baback Gharizadeh. (2007). Pyrosequencing for Discovery and Analysis of DNA Sequence Variations. Pharmacogenomics. 8(10). 1437–1441. 24 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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