Gaurav D. Diwan

418 total citations
10 papers, 158 citations indexed

About

Gaurav D. Diwan is a scholar working on Molecular Biology, Genetics and Cell Biology. According to data from OpenAlex, Gaurav D. Diwan has authored 10 papers receiving a total of 158 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Genetics and 2 papers in Cell Biology. Recurrent topics in Gaurav D. Diwan's work include RNA and protein synthesis mechanisms (4 papers), Genomics and Phylogenetic Studies (4 papers) and RNA modifications and cancer (2 papers). Gaurav D. Diwan is often cited by papers focused on RNA and protein synthesis mechanisms (4 papers), Genomics and Phylogenetic Studies (4 papers) and RNA modifications and cancer (2 papers). Gaurav D. Diwan collaborates with scholars based in Germany, United States and India. Gaurav D. Diwan's co-authors include Deepa Agashe, Gordana Apic, Robert B. Russell, Lindi M. Wahl, Lon M. Chubiz, Christopher J. Marx, Jue Wang, N. Cecilia Martínez-Gómez, Marius Ueffing and Lotte B. Pedersen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Molecular Biology and Biological Psychiatry.

In The Last Decade

Gaurav D. Diwan

10 papers receiving 156 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gaurav D. Diwan Germany 6 128 82 12 9 9 10 158
Griffin Chure United States 7 182 1.4× 88 1.1× 19 1.6× 5 0.6× 4 0.4× 12 212
Guillaume Murat Switzerland 10 318 2.5× 26 0.3× 18 1.5× 8 0.9× 13 1.4× 10 334
Daoming Qin United States 10 313 2.4× 103 1.3× 23 1.9× 7 0.8× 5 0.6× 11 320
Omer Asraf Israel 3 146 1.1× 55 0.7× 10 0.8× 1 0.1× 5 0.6× 3 158
Jochen Gerber Germany 7 338 2.6× 37 0.5× 14 1.2× 8 0.9× 11 1.2× 7 361
Nadra Al-Husini United States 6 232 1.8× 74 0.9× 46 3.8× 5 0.6× 5 0.6× 10 251
Shuangying Jiang China 9 200 1.6× 22 0.3× 15 1.3× 5 0.6× 10 1.1× 26 238
L. Ni United States 4 138 1.1× 45 0.5× 15 1.3× 25 2.8× 5 0.6× 5 158
Jonas Reeb Germany 6 116 0.9× 52 0.6× 3 0.3× 3 0.3× 4 0.4× 7 150
Alex L. Payne-Dwyer United Kingdom 6 115 0.9× 33 0.4× 15 1.3× 11 1.2× 8 0.9× 15 168

Countries citing papers authored by Gaurav D. Diwan

Since Specialization
Citations

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

Fields of papers citing papers by Gaurav D. Diwan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gaurav D. Diwan. 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 Gaurav D. Diwan. The network helps show where Gaurav D. Diwan may publish in the future.

Co-authorship network of co-authors of Gaurav D. Diwan

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

All Works

10 of 10 papers shown
1.
Beyer, Tina, Gaurav D. Diwan, Franziska Klose, et al.. (2025). Ciliopathy-Associated Missense Mutations in IFT140 are Tolerated by the Inherent Resilience of the IFT Machinery. Molecular & Cellular Proteomics. 24(3). 100916–100916. 1 indexed citations
2.
Singh, Gurdeep, Esam T. Abualrous, Gaurav D. Diwan, et al.. (2024). Reduced Protein Stability of 11 Pathogenic Missense STXBP1/MUNC18-1 Variants and Improved Disease Prediction. Biological Psychiatry. 96(2). 125–136. 3 indexed citations
3.
Aslanyan, Mariam G., Gaurav D. Diwan, Zeinab Anvarian, et al.. (2023). A targeted multi-proteomics approach generates a blueprint of the ciliary ubiquitinome. Frontiers in Cell and Developmental Biology. 11. 1113656–1113656. 13 indexed citations
4.
Beyer, Tina, Emma Peskett, Georg Otto, et al.. (2023). De-Suppression of Mesenchymal Cell Identities and Variable Phenotypic Outcomes Associated with Knockout of Bbs1. Cells. 12(22). 2662–2662. 1 indexed citations
5.
Diwan, Gaurav D., et al.. (2023). Shifts in mutation spectra enhance access to beneficial mutations. Proceedings of the National Academy of Sciences. 120(22). e2207355120–e2207355120. 29 indexed citations
6.
Schmenger, Torsten, Gaurav D. Diwan, Gurdeep Singh, Gordana Apic, & Robert B. Russell. (2022). Never-homozygous genetic variants in healthy populations are potential recessive disease candidates. npj Genomic Medicine. 7(1). 54–54. 3 indexed citations
7.
Diwan, Gaurav D., et al.. (2021). Next Generation Protein Structure Predictions and Genetic Variant Interpretation. Journal of Molecular Biology. 433(20). 167180–167180. 21 indexed citations
8.
Diwan, Gaurav D. & Deepa Agashe. (2018). Wobbling Forth and Drifting Back: The Evolutionary History and Impact of Bacterial tRNA Modifications. Molecular Biology and Evolution. 35(8). 2046–2059. 24 indexed citations
9.
Agashe, Deepa, Gaurav D. Diwan, N. Cecilia Martínez-Gómez, et al.. (2016). Large-Effect Beneficial Synonymous Mutations Mediate Rapid and Parallel Adaptation in a Bacterium. Molecular Biology and Evolution. 33(6). 1542–1553. 48 indexed citations
10.
Diwan, Gaurav D. & Deepa Agashe. (2016). The Frequency of Internal Shine–Dalgarno-like Motifs in Prokaryotes. Genome Biology and Evolution. 8(6). 1722–1733. 15 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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