Anjali Nandal

740 total citations
9 papers, 607 citations indexed

About

Anjali Nandal is a scholar working on Molecular Biology, Rheumatology and Genetics. According to data from OpenAlex, Anjali Nandal has authored 9 papers receiving a total of 607 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Rheumatology and 3 papers in Genetics. Recurrent topics in Anjali Nandal's work include CRISPR and Genetic Engineering (3 papers), RNA regulation and disease (2 papers) and Trace Elements in Health (2 papers). Anjali Nandal is often cited by papers focused on CRISPR and Genetic Engineering (3 papers), RNA regulation and disease (2 papers) and Trace Elements in Health (2 papers). Anjali Nandal collaborates with scholars based in United States, Japan and United Kingdom. Anjali Nandal's co-authors include Caroline C. Philpott, Timothy L. Stemmler, Poorna Subramanian, Toshiki Yabe‐Wada, Richard K. Bruick, Sudipa Ghimire-Rijal, Julio C. Ruiz, Haifeng Shi, Emory Hsu and Feng‐Min Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Cell Metabolism.

In The Last Decade

Anjali Nandal

9 papers receiving 605 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anjali Nandal United States 7 253 224 196 116 84 9 607
Abbhirami Rajagopal United States 8 217 0.9× 108 0.5× 83 0.4× 80 0.7× 74 0.9× 9 467
Chrysi Kanellopoulou United States 6 337 1.3× 106 0.5× 181 0.9× 41 0.4× 49 0.6× 12 962
Toshiki Yabe‐Wada Japan 11 288 1.1× 142 0.6× 139 0.7× 74 0.6× 9 0.1× 18 586
Zhigang Cai China 14 462 1.8× 183 0.8× 58 0.3× 93 0.8× 65 0.8× 22 743
O Alcantara United States 13 267 1.1× 145 0.6× 94 0.5× 100 0.9× 21 0.3× 17 507
I Blazsek France 15 312 1.2× 205 0.9× 32 0.2× 128 1.1× 36 0.4× 47 784
Yuta Ito Japan 13 131 0.5× 96 0.4× 20 0.1× 97 0.8× 82 1.0× 53 554
Paul Naumann United States 10 118 0.5× 79 0.4× 56 0.3× 54 0.5× 43 0.5× 12 334
Carol Halloran United States 9 119 0.5× 522 2.3× 363 1.9× 304 2.6× 41 0.5× 11 730
Keith Zientek United States 11 149 0.6× 57 0.3× 29 0.1× 58 0.5× 145 1.7× 23 450

Countries citing papers authored by Anjali Nandal

Since Specialization
Citations

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

Fields of papers citing papers by Anjali Nandal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anjali Nandal

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

All Works

9 of 9 papers shown
1.
Hoke, Austin T.K., Michelle R. Padget, Kellsye P. Fabian, et al.. (2021). Combinatorial Natural Killer Cell–based Immunotherapy Approaches Selectively Target Chordoma Cancer Stem Cells. Cancer Research Communications. 1(3). 127–139. 14 indexed citations
2.
Nandal, Anjali, Barbara S. Mallon, & Bhanu P. Telugu. (2017). Efficient Generation and Editing of Feeder-free IPSCs from Human Pancreatic Cells Using the CRISPR-Cas9 System. Journal of Visualized Experiments. 4 indexed citations
3.
Nandal, Anjali, Barbara S. Mallon, & Bhanu P. Telugu. (2017). Efficient Generation and Editing of Feeder-free IPSCs from Human Pancreatic Cells Using the CRISPR-Cas9 System. Journal of Visualized Experiments. 2 indexed citations
4.
Nandal, Anjali, Anne M. Powell, Wesley M. Garrett, et al.. (2015). Generation of induced pluripotent stem cells from domestic goats. Molecular Reproduction and Development. 82(9). 709–721. 28 indexed citations
5.
Frey, Avery G., Anjali Nandal, Jong Hwan Park, et al.. (2014). Iron chaperones PCBP1 and PCBP2 mediate the metallation of the dinuclear iron enzyme deoxyhypusine hydroxylase. Proceedings of the National Academy of Sciences. 111(22). 8031–8036. 112 indexed citations
6.
Riddle, Ryan C., Li Zhu, Sarvesh Kumar, et al.. (2013). A Mouse Model for Human Osteogenesis Imperfecta Type VI. Journal of Bone and Mineral Research. 28(7). 1531–1536. 44 indexed citations
7.
Shi, Haifeng, Feng‐Min Li, Minoo Shakoury‐Elizeh, et al.. (2013). Each Member of the Poly-r(C)-binding Protein 1 (PCBP) Family Exhibits Iron Chaperone Activity toward Ferritin. Journal of Biological Chemistry. 288(24). 17791–17802. 157 indexed citations
8.
Nandal, Anjali, Julio C. Ruiz, Poorna Subramanian, et al.. (2011). Activation of the HIF Prolyl Hydroxylase by the Iron Chaperones PCBP1 and PCBP2. Cell Metabolism. 14(5). 647–657. 174 indexed citations
9.
Nandal, Anjali, Mark Woodhall, Francisco Rodríguez‐Quiñones, et al.. (2009). Induction of the ferritin gene ( ftnA ) of Escherichia coli by Fe 2+ –Fur is mediated by reversal of H‐NS silencing and is RyhB independent. Molecular Microbiology. 75(3). 637–657. 72 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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