Uma Maheswari

10.9k total citations · 1 hit paper
28 papers, 4.7k citations indexed

About

Uma Maheswari is a scholar working on Molecular Biology, Biomaterials and Ecology. According to data from OpenAlex, Uma Maheswari has authored 28 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 9 papers in Biomaterials and 7 papers in Ecology. Recurrent topics in Uma Maheswari's work include Diatoms and Algae Research (9 papers), Microbial Community Ecology and Physiology (7 papers) and Genomics and Phylogenetic Studies (7 papers). Uma Maheswari is often cited by papers focused on Diatoms and Algae Research (9 papers), Microbial Community Ecology and Physiology (7 papers) and Genomics and Phylogenetic Studies (7 papers). Uma Maheswari collaborates with scholars based in France, India and United Kingdom. Uma Maheswari's co-authors include Chris Bowler, Andrew E. Allen, Kamel Jabbari, Pascal Jean Lopez, E. Virginia Armbrust, Thomas Möck, Nicolas Schauer, Alisdair R. Fernie, Markus Lommer and Julie LaRoche and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Uma Maheswari

26 papers receiving 4.6k citations

Hit Papers

Finishing the euchromatic sequence of the human genome 2004 2026 2011 2018 2004 1000 2.0k 3.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Uma Maheswari France 17 3.2k 885 638 576 571 28 4.7k
David Casero United States 37 3.3k 1.0× 244 0.3× 278 0.4× 492 0.9× 1.8k 3.1× 69 5.1k
Matthias E. Futschik Germany 30 2.9k 0.9× 321 0.4× 860 1.3× 317 0.6× 232 0.4× 80 4.2k
Paul A. Haynes Australia 48 4.6k 1.4× 599 0.7× 309 0.5× 216 0.4× 111 0.2× 183 8.2k
Hiroshi Nagai Japan 38 1.6k 0.5× 710 0.8× 259 0.4× 112 0.2× 164 0.3× 184 4.7k
Rajeev Aurora United States 30 2.5k 0.8× 280 0.3× 269 0.4× 130 0.2× 282 0.5× 65 3.7k
Yishai Levin Israel 36 2.3k 0.7× 339 0.4× 193 0.3× 222 0.4× 130 0.2× 107 4.0k
R. E. Stephens United States 36 2.3k 0.7× 484 0.5× 166 0.3× 299 0.5× 101 0.2× 90 3.9k
Jeffrey C. Way United States 38 5.0k 1.6× 1.2k 1.4× 814 1.3× 67 0.1× 731 1.3× 84 6.4k
Shifra Ben‐Dor Israel 35 2.2k 0.7× 378 0.4× 615 1.0× 126 0.2× 147 0.3× 98 4.4k
Stefan Geimer Germany 37 3.8k 1.2× 1.4k 1.6× 149 0.2× 84 0.1× 409 0.7× 68 4.6k

Countries citing papers authored by Uma Maheswari

Since Specialization
Citations

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

Fields of papers citing papers by Uma Maheswari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Uma Maheswari

This figure shows the co-authorship network connecting the top 25 collaborators of Uma Maheswari. A scholar is included among the top collaborators of Uma Maheswari 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 Uma Maheswari. Uma Maheswari 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.
Abhilash, Uma Maheswari, Kakarla Raghava Reddy, et al.. (2025). Recycling strategies for renewable graphite and other carbon nanomaterials from used batteries: A review. Journal of Cleaner Production. 493. 144871–144871. 2 indexed citations
2.
Mohanty, Ipseeta Ray, et al.. (2024). In Silico Analysis of novel Phytocompounds targetting Dipeptidyl peptidase 4 Enzyme: A New Link between Prediabetes and its cardio-metabolic complications. Phytomedicine Plus. 4(4). 100665–100665. 2 indexed citations
3.
Maheswari, Uma, et al.. (2024). Hemophagocytic lymphohistiocytosis (HLH) secondary to tuberculosis: A case series. Indian Journal of Tuberculosis. 72. S94–S97.
4.
Vellingiri, Balachandar, et al.. (2016). Mutational Analysis in Dystrophin Gene with Dystrophinopathy: A Novel Familial Case Report in Tamil Nadu. International Journal of Human Genetics. 16(3-4). 132–134. 2 indexed citations
5.
Pedro, Helder, Uma Maheswari, Martin Urban, et al.. (2015). PhytoPath: an integrative resource for plant pathogen genomics. Nucleic Acids Research. 44(D1). D688–D693. 31 indexed citations
6.
Maheswari, Uma, et al.. (2014). Direct regeneration of multiple shoots fromnodal explants of West Indian Gherkin(Cucumis anguria L.). International Journal of Innovative Research in Science Engineering and Technology. 3(6). 2 indexed citations
7.
LATHA, K. P. DEEPNA, et al.. (2014). Evaluation of the Neuroprotective Effects of Curcumin (Turmeric) Against Scopolamine Induced Cognitive Impairment in Mice.. 9 indexed citations
8.
Hosagoudar, V.B., et al.. (2011). Status of Asterina exsiccatae in Herbarium Cryptogamae Indiae Orientalis (HCIO), New Delhi, India. Indian Phytopathology. 64(1). 1 indexed citations
10.
Rayko, Edda, Florian Maumus, Uma Maheswari, Kamel Jabbari, & Chris Bowler. (2010). Transcription factor families inferred from genome sequences of photosynthetic stramenopiles. New Phytologist. 188(1). 52–66. 93 indexed citations
11.
Maheswari, Uma, Kamel Jabbari, Jean‐Louis Petit, et al.. (2010). Digital expression profiling of novel diatom transcripts provides insight into their biological functions. Genome biology. 11(8). R85–R85. 76 indexed citations
12.
Guidi‐Rontani, Chantal, Uma Maheswari, Kamel Jabbari, & Chris Bowler. (2009). Comparative ecophysiology and genomics of the toxic unicellular algaFibrocapsa japonica. New Phytologist. 185(2). 446–458. 6 indexed citations
13.
Kersey, Paul, Daniel Lawson, Ewan Birney, et al.. (2009). Ensembl Genomes: Extending Ensembl across the taxonomic space. Nucleic Acids Research. 38(suppl_1). D563–D569. 128 indexed citations
14.
Allen, Andrew E., Julie LaRoche, Uma Maheswari, et al.. (2008). Whole-cell response of the pennate diatom Phaeodactylum tricornutum to iron starvation. Proceedings of the National Academy of Sciences. 105(30). 10438–10443. 349 indexed citations
15.
Maheswari, Uma, Thomas Möck, E. Virginia Armbrust, & Chris Bowler. (2008). Update of the Diatom EST Database: a new tool for digital transcriptomics. Nucleic Acids Research. 37(Database). D1001–D1005. 56 indexed citations
16.
Torres, Jaume, et al.. (2007). Conductance and amantadine binding of a pore formed by a lysine‐flanked transmembrane domain of SARS coronavirus envelope protein. Protein Science. 16(9). 2065–2071. 144 indexed citations
17.
Montsant, Anton, Uma Maheswari, Chris Bowler, & Pascal Jean Lopez. (2005). Diatomics: Toward Diatom Functional Genomics. Journal of Nanoscience and Nanotechnology. 5(1). 5–14. 19 indexed citations
18.
Maheswari, Uma. (2004). The Diatom EST Database. Nucleic Acids Research. 33(Database issue). D344–D347. 72 indexed citations
19.
Maheswari, Uma, et al.. (2001). Efficacy of neem leaf extract on root-knot nematode, Meloidogyne incognita infecting cowpea. Indian Journal Of Nematology. 31(2). 126–128. 1 indexed citations
20.
Maheswari, Uma, et al.. (2001). Management of root-knot nematode, Meloidogyne incognita infecting cowpea by calotropis leaf extract. Indian Journal Of Nematology. 31(2). 133–135. 2 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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