Ritvik Vasan

488 total citations
10 papers, 177 citations indexed

About

Ritvik Vasan is a scholar working on Cell Biology, Atomic and Molecular Physics, and Optics and Molecular Biology. According to data from OpenAlex, Ritvik Vasan has authored 10 papers receiving a total of 177 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cell Biology, 6 papers in Atomic and Molecular Physics, and Optics and 3 papers in Molecular Biology. Recurrent topics in Ritvik Vasan's work include Cellular transport and secretion (7 papers), Force Microscopy Techniques and Applications (6 papers) and Cellular Mechanics and Interactions (4 papers). Ritvik Vasan is often cited by papers focused on Cellular transport and secretion (7 papers), Force Microscopy Techniques and Applications (6 papers) and Cellular Mechanics and Interactions (4 papers). Ritvik Vasan collaborates with scholars based in United States. Ritvik Vasan's co-authors include Padmini Rangamani, David G. Drubin, Matthew Akamatsu, Daniel Serwas, Michael A. Ferrin, Jeanne C. Stachowiak, Haleh Alimohamadi, Karen M. Davies, Jennifer M. Hill and Johannes Schöneberg and has published in prestigious journals such as Nature Methods, Biophysical Journal and Developmental Cell.

In The Last Decade

Ritvik Vasan

9 papers receiving 177 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ritvik Vasan United States	5	120	97	42	31	21	10	177
Daniel Serwas United States	7	161 1.3×	195 2.0×	36 0.9×	28 0.9×	17 0.8×	12	312
Patrick M. McCall United States	6	107 0.9×	123 1.3×	84 2.0×	22 0.7×	69 3.3×	11	299
Malti Vaghela United Kingdom	3	230 1.9×	107 1.1×	37 0.9×	46 1.5×	29 1.4×	3	280
Matthew J. Reynolds United States	9	137 1.1×	145 1.5×	61 1.5×	26 0.8×	17 0.8×	17	299
Jan van der Beek Netherlands	5	161 1.3×	149 1.5×	28 0.7×	73 2.4×	23 1.1×	8	297
Johanna Block Germany	6	236 2.0×	105 1.1×	29 0.7×	13 0.4×	19 0.9×	6	284
Luyan Cao France	11	284 2.4×	171 1.8×	44 1.0×	43 1.4×	20 1.0×	15	358
Natalia Fili United Kingdom	10	154 1.3×	287 3.0×	38 0.9×	28 0.9×	24 1.1×	16	380
Stefan Brühmann Germany	8	278 2.3×	115 1.2×	32 0.8×	57 1.8×	40 1.9×	10	356
Nicolas A. Bax United States	4	205 1.7×	94 1.0×	118 2.8×	20 0.6×	38 1.8×	5	272

Countries citing papers authored by Ritvik Vasan

Since Specialization

Citations

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

Fields of papers citing papers by Ritvik Vasan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ritvik Vasan

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

All Works

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10 of 10 papers shown

1.

Vasan, Ritvik, et al.. (2025). Interpretable representation learning for 3D multi-piece intracellular structures using point clouds. Nature Methods. 22(7). 1531–1544.

2.

Serwas, Daniel, Matthew Akamatsu, Ritvik Vasan, et al.. (2022). Mechanistic insights into actin force generation during vesicle formation from cryo-electron tomography. Developmental Cell. 57(9). 1132–1145.e5. 32 indexed citations

3.

Vasan, Ritvik. (2020). Computational modeling of cell membrane mechanics from sub-cellular to tissue length scales. eScholarship (California Digital Library). 1 indexed citations

4.

Akamatsu, Matthew, Ritvik Vasan, Daniel Serwas, et al.. (2020). Principles of self-organization and load adaptation by the actin cytoskeleton during clathrin-mediated endocytosis. eLife. 9. 101 indexed citations

5.

Vasan, Ritvik, Mary M. Maleckar, C. David Williams, & Padmini Rangamani. (2019). DLITE Uses Cell-Cell Interface Movement to Better Infer Cell-Cell Tensions. Biophysical Journal. 117(9). 1714–1727. 9 indexed citations

6.

Akamatsu, Matthew, Ritvik Vasan, David G. Drubin, Daniel Serwas, & Padmini Rangamani. (2019). Self-Organization and Force Production by the Branched Actin Cytoskeleton during Mammalian Clathrin-Mediated Endocytosis. Biophysical Journal. 116(3). 313a–313a. 2 indexed citations

7.

Vasan, Ritvik, et al.. (2018). Energetics and Stability of Neck Formation in Yeast and Mammalian Endocytosis. Biophysical Journal. 114(3). 281a–281a. 1 indexed citations

8.

Akamatsu, Matthew, Ritvik Vasan, Padmini Rangamani, & David G. Drubin. (2018). Actin-Generated Forces during Mammalian Endocytosis. Biophysical Journal. 114(3). 554a–554a. 2 indexed citations

9.

Alimohamadi, Haleh, et al.. (2018). The role of traction in membrane curvature generation. Molecular Biology of the Cell. 29(16). 2024–2035. 21 indexed citations

10.

Alimohamadi, Haleh, et al.. (2018). The Role of Traction in Membrane Curvature Generation. Biophysical Journal. 114(3). 600a–600a. 8 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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