Aniruddha Panda

652 total citations
12 papers, 440 citations indexed

About

Aniruddha Panda is a scholar working on Molecular Biology, Cell Biology and Ocean Engineering. According to data from OpenAlex, Aniruddha Panda has authored 12 papers receiving a total of 440 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Cell Biology and 2 papers in Ocean Engineering. Recurrent topics in Aniruddha Panda's work include Lipid Membrane Structure and Behavior (7 papers), Cellular transport and secretion (5 papers) and Protein Structure and Dynamics (2 papers). Aniruddha Panda is often cited by papers focused on Lipid Membrane Structure and Behavior (7 papers), Cellular transport and secretion (5 papers) and Protein Structure and Dynamics (2 papers). Aniruddha Panda collaborates with scholars based in United States, India and United Kingdom. Aniruddha Panda's co-authors include Ram A. Vishwakarma, Parvinder Pal Singh, Satyajit Mayor, Varma Saikam, Anirban Polley, Zhongwu Guo, Mahipal Yadav, Riya Raghupathy, Sanghapal D. Sawant and Anupama Ambika Anilkumar and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Aniruddha Panda

9 papers receiving 439 citations

Peers

Aniruddha Panda
Barbara Diaz‐Rohrer United States
Justin Yamada United States
Sofia Sasse Germany
Joanna M. Kwiatek United States
Regan P. Moore United States
Maria E. Falzone United States
Byoung‐Cheol Lee South Korea
Barbara Diaz‐Rohrer United States
Aniruddha Panda
Citations per year, relative to Aniruddha Panda Aniruddha Panda (= 1×) peers Barbara Diaz‐Rohrer

Countries citing papers authored by Aniruddha Panda

Since Specialization
Citations

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

Fields of papers citing papers by Aniruddha Panda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aniruddha Panda

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

All Works

12 of 12 papers shown
1.
Feng, Zhang, Sangyun Lee, Aniruddha Panda, et al.. (2025). Structure and function of the human apoptotic scramblase Xkr4. Nature Communications. 16(1). 7317–7317.
2.
Pawar, Suraj, Aniruddha Panda, Kamyar Azizzadenesheli, et al.. (2025). Accelerating Porous Media Flow Simulations With Fourier Neural Operators: An Application to Geologic Storage of CO 2. Advanced Theory and Simulations. 9(1).
3.
Jung, Wonhyeuk, et al.. (2025). Native Top–Down Analysis of Membrane Protein Complexes Directly From In Vitro and Native Membranes. Molecular & Cellular Proteomics. 24(7). 100993–100993.
4.
Pawar, Suraj, et al.. (2025). Accelerated CCS Site Screening Using Fourier Neural Operator Based Surrogates for Flow Simulations. SSRN Electronic Journal. 1 indexed citations
5.
Ghosh, Snehasish, Mukesh Kumar, Eric I. Sun, et al.. (2024). A proteome-wide quantitative platform for nanoscale spatially resolved extraction of membrane proteins into native nanodiscs. Nature Methods. 22(2). 412–421. 4 indexed citations
6.
Panda, Aniruddha, Anna L. Duncan, Parameswaran Hariharan, et al.. (2023). Direct determination of oligomeric organization of integral membrane proteins and lipids from intact customizable bilayer. Nature Methods. 20(6). 891–897. 24 indexed citations
7.
Panda, Aniruddha, Caroline Brown, & Kallol Gupta. (2023). Studying Membrane Protein–Lipid Specificity through Direct Native Mass Spectrometric Analysis from Tunable Proteoliposomes. Journal of the American Society for Mass Spectrometry. 34(9). 1917–1927. 7 indexed citations
8.
Sundaram, Ramalingam Venkat Kalyana, Kirill Grushin, Aniruddha Panda, et al.. (2023). Roles for diacylglycerol in synaptic vesicle priming and release revealed by complete reconstitution of core protein machinery. Proceedings of the National Academy of Sciences. 120(34). e2309516120–e2309516120. 5 indexed citations
9.
Naik, Amruta, et al.. (2019). Regulation of Membrane Turnover by Phosphatidic Acid: Cellular Functions and Disease Implications. Frontiers in Cell and Developmental Biology. 7. 83–83. 34 indexed citations
10.
Panda, Aniruddha, Zuo‐Feng Zhang, Plamen Georgiev, et al.. (2016). Phospholipase D activity couples plasma membrane endocytosis with retromer dependent recycling. eLife. 5. 25 indexed citations
11.
Raghupathy, Riya, Anupama Ambika Anilkumar, Anirban Polley, et al.. (2015). Transbilayer Lipid Interactions Mediate Nanoclustering of Lipid-Anchored Proteins. Cell. 161(3). 581–594. 275 indexed citations
12.
Garner, Kathryn, Plamen Georgiev, Michelle Li, et al.. (2015). RDGBα, a PI-PA transfer protein regulates G-protein coupled PtdIns(4,5)P2 signalling during Drosophila phototransduction. Journal of Cell Science. 128(17). 3330–44. 65 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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