Manjula Thimma

2.5k total citations
10 papers, 180 citations indexed

About

Manjula Thimma is a scholar working on Molecular Biology, Plant Science and Oceanography. According to data from OpenAlex, Manjula Thimma has authored 10 papers receiving a total of 180 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Plant Science and 2 papers in Oceanography. Recurrent topics in Manjula Thimma's work include Chromosomal and Genetic Variations (2 papers), RNA and protein synthesis mechanisms (2 papers) and Gene expression and cancer classification (2 papers). Manjula Thimma is often cited by papers focused on Chromosomal and Genetic Variations (2 papers), RNA and protein synthesis mechanisms (2 papers) and Gene expression and cancer classification (2 papers). Manjula Thimma collaborates with scholars based in Saudi Arabia, United States and Italy. Manjula Thimma's co-authors include Nazia Mojib, Xabier Irigoien, Mande K. Kumaran, Ma'an Amad, Amnah Alzahmi, Enas Qudeimat, Kenan Jijakli, Amphun Chaiboonchoe, Basel Khraiwesh and Kourosh Salehi‐Ashtiani and has published in prestigious journals such as Bioinformatics, Scientific Reports and Limnology and Oceanography.

In The Last Decade

Manjula Thimma

10 papers receiving 177 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manjula Thimma Saudi Arabia 8 97 35 27 24 23 10 180
Steven Robbens France 6 239 2.5× 100 2.9× 67 2.5× 25 1.0× 30 1.3× 6 324
Wenyue Su China 9 173 1.8× 133 3.8× 62 2.3× 12 0.5× 16 0.7× 18 321
Alessandro Albiero Italy 5 123 1.3× 32 0.9× 30 1.1× 8 0.3× 16 0.7× 7 192
Michał Koper Poland 9 246 2.5× 43 1.2× 38 1.4× 27 1.1× 30 1.3× 17 339
Scott Davidson United States 5 138 1.4× 18 0.5× 85 3.1× 53 2.2× 12 0.5× 9 441
Béline Jesson France 6 161 1.7× 144 4.1× 48 1.8× 43 1.8× 24 1.0× 9 280
Claire A. Rinehart United States 8 224 2.3× 91 2.6× 14 0.5× 5 0.2× 18 0.8× 19 322
Sebastián R. Najle Argentina 10 138 1.4× 23 0.7× 45 1.7× 5 0.2× 19 0.8× 12 201
Stephen D. Mastrian United States 6 197 2.0× 32 0.9× 151 5.6× 35 1.5× 51 2.2× 8 277
Shanjun Yang China 7 111 1.1× 14 0.4× 19 0.7× 23 1.0× 10 0.4× 10 173

Countries citing papers authored by Manjula Thimma

Since Specialization
Citations

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

Fields of papers citing papers by Manjula Thimma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manjula Thimma

This figure shows the co-authorship network connecting the top 25 collaborators of Manjula Thimma. A scholar is included among the top collaborators of Manjula Thimma 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 Manjula Thimma. Manjula Thimma 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.
Zhou, Yong, Nagarajan Kathiresan, Zhichao Yu, et al.. (2024). A high-performance computational workflow to accelerate GATK SNP detection across a 25-genome dataset. BMC Biology. 22(1). 13–13. 4 indexed citations
2.
Coaña, Yago Pico de, Jeroen Melief, Manjula Thimma, et al.. (2021). Predicting anti-PD-1 responders in malignant melanoma from the frequency of S100A9+ monocytes in the blood. Journal for ImmunoTherapy of Cancer. 9(5). e002171–e002171. 16 indexed citations
3.
Valle, Francesco Della, Manjula Thimma, Massimiliano Caiazzo, et al.. (2020). Transdifferentiation of Mouse Embryonic Fibroblasts into Dopaminergic Neurons Reactivates LINE-1 Repetitive Elements. Stem Cell Reports. 14(1). 60–74. 18 indexed citations
4.
Mouffouk, Fouzi, Manjula Thimma, Mohammad H. BinSabt, Ali Husain, & Sihem Aouabdi. (2020). Stem cell growth and proliferation on RGD bio-conjugated cotton fibers. Bio-Medical Materials and Engineering. 32(1). 39–52. 3 indexed citations
5.
Shuaib, Muhammad, Krishna Mohan Parsi, Manjula Thimma, et al.. (2019). Nuclear AGO1 Regulates Gene Expression by Affecting Chromatin Architecture in Human Cells. Cell Systems. 9(5). 446–458.e6. 20 indexed citations
6.
Mojib, Nazia, Manjula Thimma, Mande K. Kumaran, Rachid Sougrat, & Xabier Irigoien. (2016). Comparative metatranscriptomics reveals decline of a neustonic planktonic population. Limnology and Oceanography. 62(1). 299–310. 9 indexed citations
7.
Khraiwesh, Basel, Enas Qudeimat, Manjula Thimma, et al.. (2015). Genome-wide expression analysis offers new insights into the origin and evolution of Physcomitrella patens stress response. Scientific Reports. 5(1). 17434–17434. 42 indexed citations
8.
9.
Tomlinson, Christopher, Manjula Thimma, Jayne L. Dennis, et al.. (2008). MiMiR – an integrated platform for microarray data sharing, mining and analysis. BMC Bioinformatics. 9(1). 379–379. 15 indexed citations
10.
Mueller, Michael, Anuj Goel, Manjula Thimma, et al.. (2005). eQTL Explorer: integrated mining of combined genetic linkage and expression experiments. Bioinformatics. 22(4). 509–511. 18 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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