Fred Sawe

1.3k total citations
9 papers, 117 citations indexed

About

Fred Sawe is a scholar working on Infectious Diseases, Virology and Epidemiology. According to data from OpenAlex, Fred Sawe has authored 9 papers receiving a total of 117 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Infectious Diseases, 5 papers in Virology and 2 papers in Epidemiology. Recurrent topics in Fred Sawe's work include HIV Research and Treatment (5 papers), HIV/AIDS Research and Interventions (5 papers) and HIV/AIDS drug development and treatment (3 papers). Fred Sawe is often cited by papers focused on HIV Research and Treatment (5 papers), HIV/AIDS Research and Interventions (5 papers) and HIV/AIDS drug development and treatment (3 papers). Fred Sawe collaborates with scholars based in United States, Kenya and Brazil. Fred Sawe's co-authors include Judith S. Currier, Shahin Lockman, Xingye Wu, Michelle A. Kendall, Thomas Campbell, Karin Nielsen‐Saines, Elizabeth M. Stringer, Susan Cu‐Uvin, Douglas Shaffer and Michael D. Hughes and has published in prestigious journals such as PLoS ONE, The Journal of Infectious Diseases and EBioMedicine.

In The Last Decade

Fred Sawe

8 papers receiving 116 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fred Sawe United States 6 79 37 29 28 22 9 117
Valentine Sing’oei Kenya 5 73 0.9× 33 0.9× 31 1.1× 50 1.8× 36 1.6× 19 143
Prapap Yuthavisuthi Thailand 7 145 1.8× 81 2.2× 40 1.4× 29 1.0× 62 2.8× 9 199
Mandisa Nyati South Africa 6 56 0.7× 13 0.4× 47 1.6× 17 0.6× 12 0.5× 11 83
Nicolas Salvadori Thailand 9 123 1.6× 39 1.1× 66 2.3× 49 1.8× 12 0.5× 23 169
Anna Vassilenko Belarus 5 101 1.3× 45 1.2× 55 1.9× 35 1.3× 11 0.5× 11 142
Patrick R Ching United States 7 53 0.7× 13 0.4× 22 0.8× 6 0.2× 14 0.6× 25 136
Anna Degli Antoni Italy 9 139 1.8× 65 1.8× 56 1.9× 50 1.8× 38 1.7× 22 210
Ketema Bizuwork Gebremedhin Ethiopia 6 50 0.6× 12 0.3× 58 2.0× 15 0.5× 8 0.4× 20 116
Margaret Camarca United States 10 114 1.4× 60 1.6× 87 3.0× 20 0.7× 18 0.8× 11 203
Giovanni Guaraldi Italy 6 51 0.6× 14 0.4× 39 1.3× 29 1.0× 9 0.4× 14 80

Countries citing papers authored by Fred Sawe

Since Specialization
Citations

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

Fields of papers citing papers by Fred Sawe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fred Sawe

This figure shows the co-authorship network connecting the top 25 collaborators of Fred Sawe. A scholar is included among the top collaborators of Fred Sawe 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 Fred Sawe. Fred Sawe 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.
Ying, Roger, Tyler Hamby, Julius Tonzel, et al.. (2025). Knowledge, attitudes and practices related to SARS-CoV-2 prevention in Kenya. Journal of Public Health in Africa. 16(1). 1401–1401.
2.
Romo, Matthew L., Josphat Kosgei, Deborah Langat, et al.. (2024). Pre‐exposure prophylaxis implementation gaps among people vulnerable to HIV acquisition: a cross‐sectional analysis in two communities in western Kenya, 2021–2023. Journal of the International AIDS Society. 27(11). e26372–e26372. 2 indexed citations
3.
Araújo‐Pereira, Mariana, Virginia Sheikh, Irini Sereti, et al.. (2022). Association between severe anaemia and inflammation, risk of IRIS and death in persons with HIV: A multinational cohort study. EBioMedicine. 85. 104309–104309. 3 indexed citations
4.
Vinhaes, Caian L., Virginia Sheikh, Jing Wang, et al.. (2020). An Inflammatory Composite Score Predicts Mycobacterial Immune Reconstitution Inflammatory Syndrome in People with Advanced HIV: A Prospective International Cohort Study. The Journal of Infectious Diseases. 223(7). 1275–1283. 17 indexed citations
5.
Boltz, Valerie F., Wei Shao, Michael J. Bale, et al.. (2019). Linked dual-class HIV resistance mutations are associated with treatment failure. JCI Insight. 4(19). 13 indexed citations
6.
Stringer, Elizabeth M., Michelle A. Kendall, Shahin Lockman, et al.. (2018). Pregnancy outcomes among HIV-infected women who conceived on antiretroviral therapy. PLoS ONE. 13(7). e0199555–e0199555. 51 indexed citations
7.
Asmelash, Aida, Yu Zheng, Douglas Shaffer, et al.. (2014). Predictors of suboptimal CD4 response among women achieving virologic suppression in a randomized antiretroviral treatment trial, Africa. BMC Infectious Diseases. 14(1). 331–331. 7 indexed citations
8.
Skinner‐Adams, Tina S., Kimberly A. Porter, Ronald D’Amico, et al.. (2012). The Frequency of Malaria Is Similar among Women Receiving either Lopinavir/Ritonavir or Nevirapine-based Antiretroviral Treatment. PLoS ONE. 7(4). e34399–e34399. 11 indexed citations
9.
Fox, Matthew P., Bruce A. Larson, Sydney Rosen, et al.. (2010). Improvements in physical wellbeing over the first two years on antiretroviral therapy in western Kenya. AIDS Care. 22(2). 137–145. 13 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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