Ranjith Padinhateeri

2.2k total citations
61 papers, 875 citations indexed

About

Ranjith Padinhateeri is a scholar working on Molecular Biology, Cell Biology and Physiology. According to data from OpenAlex, Ranjith Padinhateeri has authored 61 papers receiving a total of 875 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 16 papers in Cell Biology and 9 papers in Physiology. Recurrent topics in Ranjith Padinhateeri's work include Genomics and Chromatin Dynamics (21 papers), RNA Research and Splicing (14 papers) and Microtubule and mitosis dynamics (12 papers). Ranjith Padinhateeri is often cited by papers focused on Genomics and Chromatin Dynamics (21 papers), RNA Research and Splicing (14 papers) and Microtubule and mitosis dynamics (12 papers). Ranjith Padinhateeri collaborates with scholars based in India, United States and France. Ranjith Padinhateeri's co-authors include John F. Marko, Samir K. Maji, Srivastav Ranganathan, David Lacoste, Jyotsana J. Parmar, Dibyendu Das, Narendra Nath Jha, Jean‐François Joanny, Kirone Mallick and Mandar M. Inamdar and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.

In The Last Decade

Ranjith Padinhateeri

54 papers receiving 870 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ranjith Padinhateeri India 17 642 193 117 81 59 61 875
Elisabeth Nüske Germany 7 1.3k 2.1× 228 1.2× 69 0.6× 51 0.6× 33 0.6× 7 1.5k
Anthony A. Hyman Germany 13 887 1.4× 219 1.1× 30 0.3× 38 0.5× 31 0.5× 25 1.1k
Mathieu Pinot France 13 633 1.0× 490 2.5× 103 0.9× 30 0.4× 46 0.8× 20 983
Miriana Petrovich United Kingdom 9 709 1.1× 260 1.3× 128 1.1× 55 0.7× 41 0.7× 10 851
William B. Peeples United States 7 1.9k 3.0× 201 1.0× 38 0.3× 71 0.9× 33 0.6× 7 2.1k
Benjamin R. Capraro United States 11 687 1.1× 440 2.3× 81 0.7× 26 0.3× 43 0.7× 13 839
Daniel S.W. Lee United States 10 1.3k 2.0× 136 0.7× 32 0.3× 65 0.8× 18 0.3× 15 1.4k
Sonja Kroschwald Germany 8 1.3k 2.0× 300 1.6× 55 0.5× 53 0.7× 15 0.3× 9 1.4k
Joël Lemière France 12 397 0.6× 367 1.9× 69 0.6× 36 0.4× 17 0.3× 19 624
Chris Gell United Kingdom 17 695 1.1× 483 2.5× 43 0.4× 54 0.7× 6 0.1× 22 1.0k

Countries citing papers authored by Ranjith Padinhateeri

Since Specialization
Citations

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

Fields of papers citing papers by Ranjith Padinhateeri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ranjith Padinhateeri

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

All Works

20 of 20 papers shown
1.
Notani, Dimple, et al.. (2025). Organization principles of dynamic three-dimensional genome architecture associated with centromere clustering states. Proceedings of the National Academy of Sciences. 122(50). e2520310122–e2520310122.
2.
Panigrahi, Rajlaxmi, et al.. (2023). SUMO1 hinders α‐Synuclein fibrillation by inducing structural compaction. Protein Science. 32(5). e4632–e4632. 7 indexed citations
3.
Padinhateeri, Ranjith, et al.. (2022). Nucleosome sliding can influence the spreading of histone modifications. Physical review. E. 106(2). 24408–24408. 2 indexed citations
4.
Narlikar, Leelavati, et al.. (2021). Orc4 spatiotemporally stabilizes centromeric chromatin. Genome Research. 31(4). 607–621. 8 indexed citations
5.
Padinhateeri, Ranjith, et al.. (2020). Regulation of microtubule disassembly by spatially heterogeneous patterns of acetylation. Soft Matter. 16(12). 3125–3136.
6.
Padinhateeri, Ranjith, et al.. (2020). Computing 3D Chromatin Configurations from Contact Probability Maps by Inverse Brownian Dynamics. Biophysical Journal. 118(9). 2193–2208. 16 indexed citations
7.
Padinhateeri, Ranjith, et al.. (2019). Irregular Chromatin: Packing Density, Fiber Width, and Occurrence of Heterogeneous Clusters. Biophysical Journal. 118(1). 207–218. 17 indexed citations
8.
Padinhateeri, Ranjith, et al.. (2017). Signatures of a macroscopic switching transition for a dynamic microtubule. Scientific Reports. 7(1). 45747–45747. 11 indexed citations
9.
Das, Dibyendu, et al.. (2017). Sufficient conditions for the additivity of stall forces generated by multiple filaments or motors. Physical review. E. 95(2). 22406–22406. 12 indexed citations
10.
Ranganathan, Srivastav, Samir K. Maji, & Ranjith Padinhateeri. (2016). A Minimalistic Kinetic Model for Amyloid Self-Assembly. Biophysical Journal. 110(3). 220a–220a.
11.
Bhat, Paike Jayadeva, et al.. (2016). Role of transcription factor-mediated nucleosome disassembly in PHO5 gene expression. Scientific Reports. 6(1). 20319–20319. 7 indexed citations
12.
Inamdar, Mandar M., et al.. (2015). Statistical Mechanics Provides Novel Insights into Microtubule Stability and Mechanism of Shrinkage. Biophysical Journal. 108(2). 448a–448a. 1 indexed citations
13.
Das, Dibyendu, et al.. (2014). Force-Induced Dynamical Properties of Multiple Cytoskeletal Filaments Are Distinct from that of Single Filaments. PLoS ONE. 9(12). e114014–e114014. 10 indexed citations
14.
Arunagiri, Anoop, Srivastav Ranganathan, Narendra Nath Jha, et al.. (2014). Elucidating the Role of Disulfide Bond on Amyloid Formation and Fibril Reversibility of Somatostatin-14. Journal of Biological Chemistry. 289(24). 16884–16903. 63 indexed citations
15.
Arunagiri, Anoop, Srivastav Ranganathan, Reeba S. Jacob, et al.. (2013). Understanding the Mechanism of Somatostatin-14 Amyloid Formation In Vitro. Biophysical Journal. 104(2). 50a–50a. 3 indexed citations
16.
Inamdar, Mandar M., et al.. (2013). Forces due to curving protofilaments in microtubules. Physical Review E. 88(6). 62708–62708. 4 indexed citations
17.
Ranganathan, Srivastav, Pradeep K. Singh, Uday Singh, et al.. (2012). Molecular Interpretation of ACTH-β-Endorphin Coaggregation: Relevance to Secretory Granule Biogenesis. PLoS ONE. 7(3). e31924–e31924. 9 indexed citations
18.
Kolomeisky, Anatoly B., Ranjith Padinhateeri, & David Lacoste. (2012). Random Hydrolysis Controls Dynamic Instability of Microtubules. Biophysical Journal. 102(3). 698a–698a. 2 indexed citations
19.
Padinhateeri, Ranjith, Kirone Mallick, Jean‐François Joanny, & David Lacoste. (2010). Role of ATP-Hydrolysis in the Dynamics of a Single Actin Filament. Biophysical Journal. 98(8). 1418–1427. 29 indexed citations
20.
Padinhateeri, Ranjith, David Lacoste, Kirone Mallick, & Jean‐François Joanny. (2009). Nonequilibrium Self-Assembly of a Filament Coupled to ATP/GTP Hydrolysis. Biophysical Journal. 96(6). 2146–2159. 41 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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