Leya Thomas

1000 total citations · 1 hit paper
9 papers, 563 citations indexed

About

Leya Thomas is a scholar working on Molecular Biology, Biomedical Engineering and Biotechnology. According to data from OpenAlex, Leya Thomas has authored 9 papers receiving a total of 563 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Biomedical Engineering and 6 papers in Biotechnology. Recurrent topics in Leya Thomas's work include Biofuel production and bioconversion (7 papers), Enzyme Production and Characterization (6 papers) and Microbial Metabolic Engineering and Bioproduction (4 papers). Leya Thomas is often cited by papers focused on Biofuel production and bioconversion (7 papers), Enzyme Production and Characterization (6 papers) and Microbial Metabolic Engineering and Bioproduction (4 papers). Leya Thomas collaborates with scholars based in India, Malaysia and France. Leya Thomas's co-authors include Ashok Pandey, Christian Larroche, Parameswaran Binod, Lalitha Devi Gottumukkala, Raveendran Sindhu, Muthu Arumugam, Wai Yee Chan, Kartini Rahmat, Kwan Hoong Ng and Maxine Tan and has published in prestigious journals such as Bioresource Technology, Renewable Energy and Biochemical Engineering Journal.

In The Last Decade

Leya Thomas

9 papers receiving 552 citations

Hit Papers

Current developments in solid-state fermentation 2013 2026 2017 2021 2013 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Leya Thomas India 6 297 292 252 109 75 9 563
Morteza Khanahmadi Iran 15 336 1.1× 318 1.1× 154 0.6× 183 1.7× 117 1.6× 35 700
Alexandre Nunes Ponezi Brazil 14 205 0.7× 189 0.6× 224 0.9× 169 1.6× 53 0.7× 26 585
Rosangela Donizete Perpetua Buzon Pirota Brazil 10 299 1.0× 361 1.2× 285 1.1× 85 0.8× 41 0.5× 13 502
José A. Rodríguez-León Brazil 11 399 1.3× 243 0.8× 191 0.8× 337 3.1× 75 1.0× 18 679
Zhuolin Yi China 16 362 1.2× 276 0.9× 326 1.3× 159 1.5× 254 3.4× 36 854
Faten A. Mostafa Egypt 17 347 1.2× 217 0.7× 311 1.2× 147 1.3× 87 1.2× 41 683
You-Jung Lee South Korea 10 346 1.2× 379 1.3× 350 1.4× 68 0.6× 51 0.7× 18 568
Nawel Boucherba Algeria 14 241 0.8× 230 0.8× 239 0.9× 86 0.8× 26 0.3× 27 440
Elena Ionata Italy 15 269 0.9× 227 0.8× 205 0.8× 178 1.6× 88 1.2× 32 620

Countries citing papers authored by Leya Thomas

Since Specialization
Citations

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

Fields of papers citing papers by Leya Thomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leya Thomas

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

All Works

9 of 9 papers shown
1.
Tan, Maxine, et al.. (2021). Comparison of two-dimensional synthesized mammograms versus original digital mammograms: a quantitative assessment. Medical & Biological Engineering & Computing. 59(2). 355–367. 5 indexed citations
2.
Thomas, Leya, Parameswaran Binod, & Ashok Pandey. (2016). Hydrolysis of pretreated rice straw by an enzyme cocktail comprising acidic xylanase from Aspergillus sp. for bioethanol production. Renewable Energy. 98. 9–15. 55 indexed citations
3.
Thomas, Leya, Raveendran Sindhu, Parameswaran Binod, & Ashok Pandey. (2015). Production of a cellulase-free alkaline xylanase from Bacillus pumilus MTCC 5015 by submerged fermentation and its application in biobleaching.. PubMed. 53(6). 356–63. 5 indexed citations
4.
Thomas, Leya, Raveendran Sindhu, Parameswaran Binod, & Ashok Pandey. (2015). Production of an alkaline xylanase from recombinant Kluyveromyces lactis (KY1) by submerged fermentation and its application in bio-bleaching. Biochemical Engineering Journal. 102. 24–30. 24 indexed citations
5.
Thomas, Leya, et al.. (2014). Xylanase and cellulase systems of Clostridium sp.: An insight on molecular approaches for strain improvement. Bioresource Technology. 158. 343–350. 44 indexed citations
6.
Thomas, Leya, Christian Larroche, & Ashok Pandey. (2014). ChemInform Abstract: Current Developments in Solid‐State Fermentation. ChemInform. 45(37). 2 indexed citations
7.
Thomas, Leya, Christian Larroche, & Ashok Pandey. (2013). Current developments in solid-state fermentation. Biochemical Engineering Journal. 81. 146–161. 404 indexed citations breakdown →
8.
Thomas, Leya, et al.. (2013). Production, purification, characterization and over-expression of xylanases from actinomycetes.. PubMed. 51(11). 875–84. 13 indexed citations
9.
Thomas, Leya, Raveendran Sindhu, & Ashok Pandey. (2013). Identification and characterization of a highly alkaline and thermotolerant novel xylanase from Streptomyces sp.. Biologia. 68(6). 1022–1027. 11 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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