Saima May Sidik
Impact in
- Parasitology top 0.5%
- Toxoplasma gondii Research Studies
- Parasitic Infections and Diagnostics
- Epidemiology top 5%
- Cytomegalovirus and herpesvirus research
- Herpesvirus Infections and Treatments
Papers in
-
- Toxoplasma gondii Research Studies 9
-
- COVID-19 Clinical Research Studies 4
- Viral Infections and Outbreaks Research 4
- SARS-CoV-2 and COVID-19 Research 3
- Co-authors
- Sebastian Lourido (12 shared papers)Jeroen P. J. Saeij (3 shared papers)Diego Huet (2 shared papers)Jacquin C. Niles (2 shared papers)My‐Hang Huynh (2 shared papers)Vern B. Carruthers (2 shared papers)TIMOTHY Cragin WANG (1 shared paper)Armiyaw Sebastian Nasamu (1 shared paper)
- Journals
- Nature (19 papers)Eos (3 papers)Cell Host & Microbe (2 papers)Nature Communications (2 papers)PLoS ONE (2 papers)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Saima May Sidik
36 papers receiving 1.9k citations
Saima May Sidik's Hit Papers
Peers
Comparison fields: 5 of 116
- Parasitology 993
- Epidemiology 705
- Virology 79
- Immunology 237
- Infectious Diseases 206
Countries citing papers authored by Saima May Sidik
This map shows the geographic impact of Saima May Sidik'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 Saima May Sidik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saima May Sidik more than expected).
Fields of papers citing papers by Saima May Sidik
This network shows the impact of papers produced by Saima May Sidik. 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 Saima May Sidik. The network helps show where Saima May Sidik may publish in the future.
Co-authors
The 25 scholars most cited alongside Saima May Sidik, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A Genome-wide CRISPR Screen in Toxoplasma Identifies Essential Apicomplexan Genes Hit paper breakdown → | 2016 | 615 |
| 2 | 2016 | 369 | |
| 3 | 2014 | 211 | |
| 4 | 2015 | 198 | |
| 5 | 2019 | 75 | |
| 6 | 2016 | 52 | |
| 7 | 2018 | 51 | |
| 8 | 2020 | 47 | |
| 9 | 2022 | 31 | |
| 10 | 2020 | 30 | |
| 11 | 2014 | 29 | |
| 12 | 2015 | 23 | |
| 13 | 2022 | 23 | |
| 14 | 2022 | 21 | |
| 15 | 2022 | 16 | |
| 16 | 2023 | 12 | |
| 17 | 2022 | 10 | |
| 18 | 2023 | 10 | |
| 19 | 2024 | 10 | |
| 20 | 2022 | 9 |
About Saima May Sidik
Saima May Sidik is a scholar working on Parasitology, Infectious Diseases, Public Health, Environmental and Occupational Health, Epidemiology and Virology, having authored 38 papers that have together received 1.9k indexed citations. Recurring topics across this work include Toxoplasma gondii Research Studies (9 papers), Mosquito-borne diseases and control (5 papers), COVID-19 Clinical Research Studies (4 papers), Viral Infections and Outbreaks Research (4 papers), Cytomegalovirus and herpesvirus research (4 papers), Herpesvirus Infections and Treatments (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and COVID-19 and Mental Health (2 papers). The work is most often cited by research in Parasitology (993 citations), Epidemiology (705 citations), Virology (79 citations), Immunology (237 citations) and Infectious Diseases (206 citations). Saima May Sidik has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Sebastian Lourido, Jeroen P. J. Saeij, Diego Huet, Jacquin C. Niles, My‐Hang Huynh, Vern B. Carruthers, TIMOTHY Cragin WANG, Armiyaw Sebastian Nasamu, Prathapan Thiru and Suresh M. Ganesan. Their work appears in journals such as Nature, Eos, Cell Host & Microbe, Nature Communications and PLoS ONE.
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.