Rituraj Pal

45 total papers · 4.2k total citations
28 papers, 1.1k citations indexed

About

Rituraj Pal is a scholar working on Molecular Biology, Cell Biology and Epidemiology. According to data from OpenAlex, Rituraj Pal has authored 28 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 11 papers in Cell Biology and 7 papers in Epidemiology. Recurrent topics in Rituraj Pal's work include Autophagy in Disease and Therapy (7 papers), Endoplasmic Reticulum Stress and Disease (6 papers) and Cellular transport and secretion (5 papers). Rituraj Pal is often cited by papers focused on Autophagy in Disease and Therapy (7 papers), Endoplasmic Reticulum Stress and Disease (6 papers) and Cellular transport and secretion (5 papers). Rituraj Pal collaborates with scholars based in United States, Germany and China. Rituraj Pal's co-authors include George G. Rodney, Marco Sardiello, Michela Palmieri, Lakshya Bajaj, Reem Abo‐Zahrah, Parisa Lotfi, Poulami Basu Thakur, Alberto di Ronza, James A. Loehr and Mahesh Narayan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Rituraj Pal

28 papers receiving 1.1k citations

Hit Papers

mTORC1-independent TFEB a... 2017 2026 2020 2023 2017 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Rituraj Pal 574 419 349 261 157 28 1.1k
Clara Quiroga 835 1.5× 417 1.0× 224 0.6× 414 1.6× 71 0.5× 34 1.4k
Rebecca J. Wilson 699 1.2× 351 0.8× 417 1.2× 132 0.5× 44 0.3× 28 1.1k
Vittoria Pagliarini 790 1.4× 543 1.3× 139 0.4× 337 1.3× 72 0.5× 27 1.4k
Shoichi Takikita 460 0.8× 405 1.0× 554 1.6× 153 0.6× 117 0.7× 25 1.1k
Edward T. W. Bampton 553 1.0× 492 1.2× 163 0.5× 214 0.8× 102 0.6× 18 1.3k
Myungjin Kim 745 1.3× 350 0.8× 144 0.4× 175 0.7× 57 0.4× 21 1.1k
Yang Liu 584 1.0× 575 1.4× 240 0.7× 287 1.1× 70 0.4× 22 1.3k
Ayaka Yamamoto 486 0.8× 439 1.0× 196 0.6× 220 0.8× 115 0.7× 37 1.4k
Bénédicte Oulès 542 0.9× 164 0.4× 269 0.8× 307 1.2× 39 0.2× 28 1.2k
Sinan Khor 695 1.2× 660 1.6× 126 0.4× 141 0.5× 123 0.8× 20 1.4k

Countries citing papers authored by Rituraj Pal

Since Specialization
Citations

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

Fields of papers citing papers by Rituraj Pal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rituraj Pal

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

All Works

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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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