Rishikesh U. Kulkarni

847 total citations
15 papers, 633 citations indexed

About

Rishikesh U. Kulkarni is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Rishikesh U. Kulkarni has authored 15 papers receiving a total of 633 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cellular and Molecular Neuroscience, 8 papers in Molecular Biology and 2 papers in Cognitive Neuroscience. Recurrent topics in Rishikesh U. Kulkarni's work include Neuroscience and Neural Engineering (7 papers), Photoreceptor and optogenetics research (5 papers) and Pluripotent Stem Cells Research (4 papers). Rishikesh U. Kulkarni is often cited by papers focused on Neuroscience and Neural Engineering (7 papers), Photoreceptor and optogenetics research (5 papers) and Pluripotent Stem Cells Research (4 papers). Rishikesh U. Kulkarni collaborates with scholars based in United States, Portugal and Hong Kong. Rishikesh U. Kulkarni's co-authors include Evan W. Miller, Maroof M. Adil, David V. Schaffer, Antara Rao, Parker E. Deal, Gonçalo Rodrigues, Badriprasad Ananthanarayanan, Tandis Vazin, Steven Boggess and Patrick Zhang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Biomaterials.

In The Last Decade

Rishikesh U. Kulkarni

15 papers receiving 629 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rishikesh U. Kulkarni United States	12	293	287	168	146	72	15	633
Joshua A. Walker United States	15	271 0.9×	532 1.9×	110 0.7×	113 0.8×	34 0.5×	23	831
Zhiying Li China	12	212 0.7×	219 0.8×	295 1.8×	147 1.0×	81 1.1×	26	786
Véronique Bouchaud France	17	158 0.5×	466 1.6×	276 1.6×	187 1.3×	48 0.7×	26	1.1k
Teddy Fauquier France	12	116 0.4×	394 1.4×	74 0.4×	217 1.5×	55 0.8×	18	1.0k
Atsushi Kuwahara Japan	18	440 1.5×	1.0k 3.5×	158 0.9×	109 0.7×	81 1.1×	34	1.4k
Andrew Cho United States	17	62 0.2×	432 1.5×	108 0.6×	110 0.8×	73 1.0×	20	826
Ke Zhan United States	10	250 0.9×	676 2.4×	100 0.6×	80 0.5×	37 0.5×	13	1.3k
Praveen D. Chowdary United States	14	184 0.6×	269 0.9×	238 1.4×	64 0.4×	47 0.7×	22	793
Xudong Ge United States	16	166 0.6×	447 1.6×	376 2.2×	69 0.5×	38 0.5×	43	1.0k
Géraldine Gouzer France	9	339 1.2×	569 2.0×	41 0.2×	74 0.5×	36 0.5×	10	828

Countries citing papers authored by Rishikesh U. Kulkarni

Since Specialization

Citations

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

Fields of papers citing papers by Rishikesh U. Kulkarni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rishikesh U. Kulkarni. 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 Rishikesh U. Kulkarni. The network helps show where Rishikesh U. Kulkarni may publish in the future.

Co-authorship network of co-authors of Rishikesh U. Kulkarni

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

All Works

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15 of 15 papers shown

Dodds, James N., Erin Baker, Rebecca B. Berlow, et al.. (2024). A high-throughput workflow to analyze sequence-conformation relationships and explore hydrophobic patterning in disordered peptoids. Chem. 10(11). 3444–3458. 1 indexed citations

Riley, Nicholas M., et al.. (2023). Microglia Mediate Contact-Independent Neuronal Network Remodeling via Secreted Neuraminidase-3 Associated with Extracellular Vesicles. ACS Central Science. 9(11). 2108–2114. 11 indexed citations

Kulkarni, Rishikesh U., et al.. (2022). Analyzing nested experimental designs—A user-friendly resampling method to determine experimental significance. PLoS Computational Biology. 18(5). e1010061–e1010061. 6 indexed citations

Boggess, Steven, et al.. (2019). BODIPY Fluorophores for Membrane Potential Imaging. Journal of the American Chemical Society. 141(32). 12824–12831. 86 indexed citations

Kulkarni, Rishikesh U., Matthieu Vandenberghe, Martin Thunemann, et al.. (2018). In Vivo Two-Photon Voltage Imaging with Sulfonated Rhodamine Dyes. ACS Central Science. 4(10). 1371–1378. 44 indexed citations

Adil, Maroof M., Thomas Gaj, Antara Rao, et al.. (2018). hPSC-Derived Striatal Cells Generated Using a Scalable 3D Hydrogel Promote Recovery in a Huntington Disease Mouse Model. Stem Cell Reports. 10(5). 1481–1491. 39 indexed citations

Adil, Maroof M., Antara Rao, Gokul N. Ramadoss, et al.. (2018). Dopaminergic Neurons Transplanted Using Cell‐Instructive Biomaterials Alleviate Parkinsonism in Rodents. Advanced Functional Materials. 28(41). 23 indexed citations

Adil, Maroof M., Gonçalo Rodrigues, Rishikesh U. Kulkarni, et al.. (2017). Efficient generation of hPSC-derived midbrain dopaminergic neurons in a fully defined, scalable, 3D biomaterial platform. Scientific Reports. 7(1). 40573–40573. 49 indexed citations

Rodrigues, Gonçalo, Thomas Gaj, Maroof M. Adil, et al.. (2017). Defined and Scalable Differentiation of Human Oligodendrocyte Precursors from Pluripotent Stem Cells in a 3D Culture System. Stem Cell Reports. 8(6). 1770–1783. 53 indexed citations

10.

Adil, Maroof M., Tandis Vazin, Badriprasad Ananthanarayanan, et al.. (2017). Engineered hydrogels increase the post-transplantation survival of encapsulated hESC-derived midbrain dopaminergic neurons. Biomaterials. 136. 1–11. 97 indexed citations

11.

Kulkarni, Rishikesh U. & Evan W. Miller. (2017). Voltage Imaging: Pitfalls and Potential. Biochemistry. 56(39). 5171–5177. 71 indexed citations

12.

Knight, Abigail, et al.. (2017). A modular platform to develop peptoid-based selective fluorescent metal sensors. Chemical Communications. 53(24). 3477–3480. 21 indexed citations

13.

Kulkarni, Rishikesh U., et al.. (2017). Voltage-sensitive rhodol with enhanced two-photon brightness. Proceedings of the National Academy of Sciences. 114(11). 2813–2818. 41 indexed citations

14.

Deal, Parker E., et al.. (2016). Isomerically Pure Tetramethylrhodamine Voltage Reporters. Journal of the American Chemical Society. 138(29). 9085–9088. 51 indexed citations

15.

Kulkarni, Rishikesh U., Hang Yin, Maroof M. Adil, et al.. (2016). A Rationally Designed, General Strategy for Membrane Orientation of Photoinduced Electron Transfer-Based Voltage-Sensitive Dyes. ACS Chemical Biology. 12(2). 407–413. 40 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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