Sheila Nathan

3.4k total citations
130 papers, 2.5k citations indexed

About

Sheila Nathan is a scholar working on Epidemiology, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Sheila Nathan has authored 130 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Epidemiology, 42 papers in Molecular Biology and 12 papers in Biomedical Engineering. Recurrent topics in Sheila Nathan's work include Burkholderia infections and melioidosis (51 papers), Monoclonal and Polyclonal Antibodies Research (10 papers) and Insect symbiosis and bacterial influences (9 papers). Sheila Nathan is often cited by papers focused on Burkholderia infections and melioidosis (51 papers), Monoclonal and Polyclonal Antibodies Research (10 papers) and Insect symbiosis and bacterial influences (9 papers). Sheila Nathan collaborates with scholars based in Malaysia, United States and United Kingdom. Sheila Nathan's co-authors include Cin Kong, Hui‐min Neoh, Rahmah Mohamed, Kiew‐Lian Wan, Sylvia Chieng, Noorsaadah Abd Rahman, Ali Ashrafzadeh, Saiful Anuar Karsani, Nor Muhammad Mahadi and Adura Mohd-Adnan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Sheila Nathan

124 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sheila Nathan Malaysia 30 940 660 320 260 230 130 2.5k
Christian Heiß United States 30 1.2k 1.3× 525 0.8× 438 1.4× 202 0.8× 241 1.0× 89 2.5k
Oleg Krut Germany 27 1.2k 1.3× 574 0.9× 537 1.7× 241 0.9× 154 0.7× 43 2.6k
Tobias A. Oelschlaeger Germany 33 1.6k 1.7× 347 0.5× 541 1.7× 384 1.5× 251 1.1× 61 3.6k
Khatijah Yusoff Malaysia 36 1.4k 1.5× 1.5k 2.3× 798 2.5× 402 1.5× 105 0.5× 204 4.3k
Aldert A. Bergwerff Netherlands 28 1.0k 1.1× 529 0.8× 728 2.3× 141 0.5× 357 1.6× 61 2.7k
Thomas Maier Germany 29 1.0k 1.1× 676 1.0× 264 0.8× 92 0.4× 232 1.0× 54 2.7k
Nichollas E. Scott Australia 37 2.4k 2.5× 403 0.6× 487 1.5× 520 2.0× 96 0.4× 132 4.1k
Daniel V. Zurawski United States 28 1.1k 1.1× 240 0.4× 351 1.1× 372 1.4× 117 0.5× 60 2.6k
Alessandra Polissi Italy 32 1.6k 1.7× 426 0.6× 225 0.7× 415 1.6× 155 0.7× 86 3.5k
Trudy H. Grossman United States 21 1.7k 1.8× 336 0.5× 500 1.6× 503 1.9× 161 0.7× 41 3.0k

Countries citing papers authored by Sheila Nathan

Since Specialization
Citations

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

Fields of papers citing papers by Sheila Nathan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheila Nathan

This figure shows the co-authorship network connecting the top 25 collaborators of Sheila Nathan. A scholar is included among the top collaborators of Sheila Nathan 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 Sheila Nathan. Sheila Nathan 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.
Manoharan, P. T., et al.. (2025). Tracing the environmental source of fatal community-acquired pneumonia and sepsis caused by Burkholderia pseudomallei. Infection Genetics and Evolution. 133. 105788–105788.
2.
Kumar, Suresh, Heng Fong Seow, Kian Meng Chang, et al.. (2022). Differential Regulation of NK Cell Receptors in Acute Lymphoblastic Leukemia. Journal of Immunology Research. 2022. 1–13. 2 indexed citations
3.
Hashim, Rohaidah, et al.. (2022). Distribution of blaOXA genes among Malaysian Burkholderia pseudomallei isolates and correlation with patient outcome. International Journal of Infectious Diseases. 116. S1–S2.
4.
Mohd‐Taib, Farah Shafawati, et al.. (2021). Leptospirosis and Coinfection: Should We Be Concerned?. International Journal of Environmental Research and Public Health. 18(17). 9411–9411. 31 indexed citations
5.
Nathan, Sheila, et al.. (2020). Burkholderia pseudomallei pathogenesis and survival in different niches. Biochemical Society Transactions. 48(2). 569–579. 9 indexed citations
6.
Nathan, Sheila, et al.. (2019). Vaccination challenges and strategies against long-lived Toxoplasma gondii. Vaccine. 37(30). 3989–4000. 19 indexed citations
7.
8.
Nathan, Sheila, et al.. (2017). Identification of sRNA mediated responses to nutrient depletion in Burkholderia pseudomallei. Scientific Reports. 7(1). 17173–17173. 9 indexed citations
9.
Nathan, Sheila, et al.. (2015). Curcumin rescues Caenorhabditis elegans from a Burkholderia pseudomallei infection. Frontiers in Microbiology. 6. 290–290. 25 indexed citations
10.
Nathan, Sheila, et al.. (2013). Burkholderia pseudomallei: AN UPDATE ON DISEASE, VIRULENCE AND HOST INTERACTION. 42(1). 1–14. 8 indexed citations
11.
Sedelnikova, Svetlana E., et al.. (2013). Crystallization and preliminary crystallographic analysis of a surface antigen glycoprotein, SAG19, fromEimeria tenella. Acta Crystallographica Section F Structural Biology and Crystallization Communications. 69(12). 1380–1383. 8 indexed citations
12.
Chua, Eng Guan, et al.. (2012). The Effect of Environmental Conditions on Biofilm Formation of Burkholderia pseudomallei Clinical Isolates. PLoS ONE. 7(9). e44104–e44104. 58 indexed citations
13.
Hashim, Noor Haza Fazlin, Izwan Bharudin, Douglas Law, et al.. (2012). Characterization of Afp1, an antifreeze protein from the psychrophilic yeast Glaciozyma antarctica PI12. Extremophiles. 17(1). 63–73. 59 indexed citations
14.
Schönbach, Christian, Tin Wee Tan, Janet Kelso, et al.. (2011). InCoB celebrates its tenth anniversary as first joint conference with ISCB-Asia. BMC Genomics. 12(Suppl 3). S1–S1. 7 indexed citations
15.
16.
Lokanathan, Yogeswaran, Adura Mohd-Adnan, Kiew‐Lian Wan, & Sheila Nathan. (2010). Transcriptome analysis of the Cryptocaryon irritans tomont stage identifies potential genes for the detection and control of cryptocaryonosis. BMC Genomics. 11(1). 76–76. 41 indexed citations
17.
Shamsir, Mohd Shahir, Amir Feisal Merican, Rahmah Mohamed, et al.. (2009). Bioinformatics in Malaysia: Hope, Initiative, Effort, Reality, and Challenges. PLoS Computational Biology. 5(8). e1000457–e1000457. 9 indexed citations
18.
Su, Yu‐Ching, Kiew‐Lian Wan, Rahmah Mohamed, & Sheila Nathan. (2008). A genome level survey of Burkholderia pseudomallei immunome expressed during human infection. Microbes and Infection. 10(12-13). 1335–1345. 17 indexed citations
19.
Lim, Ka Keat, et al.. (2005). Purification of A Burkholderia pseudomallei Antigen Via Antibody Mediated Affinity Chromatography. 1 indexed citations
20.
Nathan, Sheila, et al.. (2001). Purification and Characterisation of a Burkholderia pseudomallei Protease Expressed in Recombinant E. coli. BMB Reports. 34(6). 509–516. 5 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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