Diane Simarmata

868 total citations
8 papers, 682 citations indexed

About

Diane Simarmata is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases and Epidemiology. According to data from OpenAlex, Diane Simarmata has authored 8 papers receiving a total of 682 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Public Health, Environmental and Occupational Health, 5 papers in Infectious Diseases and 4 papers in Epidemiology. Recurrent topics in Diane Simarmata's work include Mosquito-borne diseases and control (7 papers), Viral Infections and Vectors (5 papers) and Virology and Viral Diseases (4 papers). Diane Simarmata is often cited by papers focused on Mosquito-borne diseases and control (7 papers), Viral Infections and Vectors (5 papers) and Virology and Viral Diseases (4 papers). Diane Simarmata collaborates with scholars based in Singapore, France and Malaysia. Diane Simarmata's co-authors include Lisa F. P. Ng, Yiu‐Wing Kam, Laurent Rénia, Yee‐Sin Leo, Angela Chow, Wendy W. L. Lee, Raymond Tzer Pin Lin, Zhisheng Her, Sumitro Harjanto and Joo Chuan Tong and has published in prestigious journals such as PLoS ONE, Journal of Virology and Scientific Reports.

In The Last Decade

Diane Simarmata

8 papers receiving 666 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Diane Simarmata Singapore	8	501	428	148	98	82	8	682
Eric Stavale United States	12	367 0.7×	397 0.9×	121 0.8×	133 1.4×	70 0.9×	16	676
Joshua M. Costin United States	10	310 0.6×	250 0.6×	128 0.9×	86 0.9×	63 0.8×	13	515
Petra M. Färber Germany	10	405 0.8×	165 0.4×	263 1.8×	82 0.8×	62 0.8×	11	622
Lulan Wang United States	11	177 0.4×	400 0.9×	234 1.6×	191 1.9×	70 0.9×	17	676
Asako Tan United States	12	270 0.5×	243 0.6×	214 1.4×	59 0.6×	58 0.7×	19	593
Issiaka Soulama Burkina Faso	17	814 1.6×	104 0.2×	106 0.7×	81 0.8×	151 1.8×	67	991
Sandra Bos France	15	463 0.9×	358 0.8×	80 0.5×	112 1.1×	52 0.6×	20	599
Luciana Jesus da Costa Brazil	17	134 0.3×	326 0.8×	146 1.0×	186 1.9×	69 0.8×	42	696
Rajendra Raut India	11	390 0.8×	306 0.7×	76 0.5×	50 0.5×	28 0.3×	14	510
Zhiyong Zhou United States	16	447 0.9×	293 0.7×	169 1.1×	180 1.8×	55 0.7×	35	887

Countries citing papers authored by Diane Simarmata

Since Specialization

Citations

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

Fields of papers citing papers by Diane Simarmata

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diane Simarmata

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

All Works

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8 of 8 papers shown

Simarmata, Diane, David Ng, Yiu‐Wing Kam, et al.. (2016). Early clearance of Chikungunya virus in children is associated with a strong innate immune response. Scientific Reports. 6(1). 26097–26097. 26 indexed citations

Varghese, Finny S., Bastian Thaa, Siti Naqiah Amrun, et al.. (2016). The Antiviral Alkaloid Berberine Reduces Chikungunya Virus-Induced Mitogen-Activated Protein Kinase Signaling. Journal of Virology. 90(21). 9743–9757. 111 indexed citations

Kam, Yiu‐Wing, Wendy W. L. Lee, Diane Simarmata, et al.. (2014). Unique Epitopes Recognized by Antibodies Induced in Chikungunya Virus-Infected Non-Human Primates: Implications for the Study of Immunopathology and Vaccine Development. PLoS ONE. 9(4). e95647–e95647. 42 indexed citations

Kam, Yiu‐Wing, Fok‐Moon Lum, Teck‐Hui Teo, et al.. (2012). Early neutralizing IgG response to Chikungunya virus in infected patients targets a dominant linear epitope on the E2 glycoprotein. EMBO Molecular Medicine. 4(4). 330–343. 155 indexed citations

Kam, Yiu‐Wing, Diane Simarmata, Angela Chow, et al.. (2012). Early Appearance of Neutralizing Immunoglobulin G3 Antibodies Is Associated With Chikungunya Virus Clearance and Long-term Clinical Protection. The Journal of Infectious Diseases. 205(7). 1147–1154. 149 indexed citations

Kam, Yiu‐Wing, Wendy W. L. Lee, Diane Simarmata, et al.. (2012). Longitudinal Analysis of the Human Antibody Response to Chikungunya Virus Infection: Implications for Serodiagnosis and Vaccine Development. Journal of Virology. 86(23). 13005–13015. 115 indexed citations

Wee, Lawrence JK, Diane Simarmata, Yiu‐Wing Kam, Lisa F. P. Ng, & Joo Chuan Tong. (2010). SVM-based prediction of linear B-cell epitopes using Bayes Feature Extraction. BMC Genomics. 11(S4). S21–S21. 69 indexed citations

Tong, Joo Chuan, Diane Simarmata, Raymond Tzer Pin Lin, Laurent Rénia, & Lisa F. P. Ng. (2010). HLA Class I Restriction as a Possible Driving Force for Chikungunya Evolution. PLoS ONE. 5(2). e9291–e9291. 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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