Ankita Singhal

875 total citations
9 papers, 633 citations indexed

About

Ankita Singhal is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Ophthalmology. According to data from OpenAlex, Ankita Singhal has authored 9 papers receiving a total of 633 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 1 paper in Ophthalmology. Recurrent topics in Ankita Singhal's work include Receptor Mechanisms and Signaling (7 papers), Photoreceptor and optogenetics research (6 papers) and Retinal Development and Disorders (6 papers). Ankita Singhal is often cited by papers focused on Receptor Mechanisms and Signaling (7 papers), Photoreceptor and optogenetics research (6 papers) and Retinal Development and Disorders (6 papers). Ankita Singhal collaborates with scholars based in Switzerland, United States and United Kingdom. Ankita Singhal's co-authors include Patricia C. Edwards, Gebhard F. X. Schertler, Xavier Deupí, Christopher G. Tate, Jörg Standfuss, Benjamin Nickle, Daniel D. Oprian, Haijuan Du, Byron Carpenter and Rony Nehmé and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Nature Protocols.

In The Last Decade

Ankita Singhal

9 papers receiving 627 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ankita Singhal Switzerland	8	575	385	97	72	27	9	633
Zoey L. Fredericks United States	9	733 1.3×	324 0.8×	61 0.6×	47 0.7×	32 1.2×	11	798
Konstantin E. Komolov Russia	13	506 0.9×	313 0.8×	55 0.6×	72 1.0×	23 0.9×	19	591
Tivadar Orban United States	16	552 1.0×	256 0.7×	68 0.7×	90 1.3×	29 1.1×	28	704
Najeah Okashah United States	8	484 0.8×	252 0.7×	66 0.7×	37 0.5×	31 1.1×	9	573
Darlaine Pétrin Canada	15	432 0.8×	218 0.6×	55 0.6×	26 0.4×	25 0.9×	30	586
Kristoff T. Homan United States	17	755 1.3×	363 0.9×	48 0.5×	42 0.6×	36 1.3×	26	898
Tin T. Truong Australia	9	611 1.1×	337 0.9×	77 0.8×	52 0.7×	40 1.5×	9	704
Hee Ryung Kim South Korea	10	458 0.8×	218 0.6×	63 0.6×	87 1.2×	29 1.1×	19	527
Yi-Lynn Liang Australia	10	461 0.8×	281 0.7×	64 0.7×	47 0.7×	33 1.2×	11	546
Matthew Chu United States	3	652 1.1×	383 1.0×	98 1.0×	60 0.8×	34 1.3×	6	752

Countries citing papers authored by Ankita Singhal

Since Specialization

Citations

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

Fields of papers citing papers by Ankita Singhal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ankita Singhal

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

Nehmé, Rony, Byron Carpenter, Ankita Singhal, et al.. (2017). Mini-G proteins: Novel tools for studying GPCRs in their active conformation. PLoS ONE. 12(4). e0175642–e0175642. 200 indexed citations

Singhal, Ankita, Ying Guo, Milos Matkovic, et al.. (2016). Structural role of the T94I rhodopsin mutation in congenital stationary night blindness. EMBO Reports. 17(10). 1431–1440. 30 indexed citations

Magnani, Francesca, María J. Serrano‐Vega, Yoko Shibata, et al.. (2016). A mutagenesis and screening strategy to generate optimally thermostabilized membrane proteins for structural studies. Nature Protocols. 11(8). 1554–1571. 72 indexed citations

Mattle, Daniel, Ankita Singhal, Georg H. Schmid, Roger Dawson, & Jörg Standfuss. (2015). Mammalian Expression, Purification, and Crystallization of Rhodopsin Variants. Methods in molecular biology. 1271. 39–54. 4 indexed citations

Yadav, Arvind Kumar, et al.. (2014). Wisdom Tooth—Complications in Extraction. The Journal of Contemporary Dental Practice. 15(1). 34–36. 17 indexed citations

Maeda, Shoji, Dawei Sun, Ankita Singhal, et al.. (2014). Crystallization Scale Preparation of a Stable GPCR Signaling Complex between Constitutively Active Rhodopsin and G-Protein. PLoS ONE. 9(6). e98714–e98714. 19 indexed citations

Singhal, Ankita, Sergey A. Vishnivetskiy, Valérie Panneels, et al.. (2013). Insights into congenital stationary night blindness based on the structure of G90D rhodopsin. EMBO Reports. 14(6). 520–526. 77 indexed citations

Vishnivetskiy, Sergey A., Ankita Singhal, Valérie Panneels, et al.. (2013). Constitutively active rhodopsin mutants causing night blindness are effectively phosphorylated by GRKs but differ in arrestin-1 binding. Cellular Signalling. 25(11). 2155–2162. 25 indexed citations

Deupí, Xavier, Patricia C. Edwards, Ankita Singhal, et al.. (2011). Stabilized G protein binding site in the structure of constitutively active metarhodopsin-II. Proceedings of the National Academy of Sciences. 109(1). 119–124. 189 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.

Explore authors with similar magnitude of impact