Daniel M. Chafets

882 total citations
18 papers, 626 citations indexed

About

Daniel M. Chafets is a scholar working on Infectious Diseases, Pediatrics, Perinatology and Child Health and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Daniel M. Chafets has authored 18 papers receiving a total of 626 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Infectious Diseases, 4 papers in Pediatrics, Perinatology and Child Health and 4 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Daniel M. Chafets's work include T-cell and Retrovirus Studies (4 papers), Animal Disease Management and Epidemiology (4 papers) and Prenatal Screening and Diagnostics (4 papers). Daniel M. Chafets is often cited by papers focused on T-cell and Retrovirus Studies (4 papers), Animal Disease Management and Epidemiology (4 papers) and Prenatal Screening and Diagnostics (4 papers). Daniel M. Chafets collaborates with scholars based in United States, Poland and Canada. Daniel M. Chafets's co-authors include Tzong‐Hae Lee, Michael P. Busch, Edward L. Murphy, Sonia Bakkour, Catharie C. Nass, Garth H. Utter, William Reed, Wen Li, Baoguang Wang and Bruce Newman and has published in prestigious journals such as PLoS ONE, The Journal of Infectious Diseases and Cell Reports.

In The Last Decade

Daniel M. Chafets

17 papers receiving 615 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel M. Chafets United States 13 272 202 183 149 112 18 626
Megan E. Laycock United States 10 110 0.4× 80 0.4× 60 0.3× 123 0.8× 23 0.2× 14 612
Brian DuChateau United States 14 196 0.7× 5 0.0× 76 0.4× 269 1.8× 65 0.6× 22 572
G. Georgiev Bulgaria 11 145 0.5× 197 1.0× 203 1.1× 170 1.1× 67 0.6× 28 528
Nathalie Désiré France 15 190 0.7× 130 0.6× 101 0.6× 291 2.0× 18 0.2× 32 760
J. C. Booth United Kingdom 12 50 0.2× 175 0.9× 102 0.6× 111 0.7× 15 0.1× 23 526
Rita Catarina Medeiros Sousa Brazil 11 143 0.5× 69 0.3× 81 0.4× 93 0.6× 33 0.3× 44 407
Frédéric Toulza United Kingdom 12 434 1.6× 293 1.5× 264 1.4× 76 0.5× 34 0.3× 22 620
Melinda Jenkins-Moore United States 11 30 0.1× 131 0.6× 48 0.3× 399 2.7× 51 0.5× 12 715
J. Street United Kingdom 13 283 1.0× 9 0.0× 33 0.2× 242 1.6× 14 0.1× 62 634
J. Kiss Hungary 11 164 0.6× 36 0.2× 25 0.1× 109 0.7× 23 0.2× 37 350

Countries citing papers authored by Daniel M. Chafets

Since Specialization
Citations

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

Fields of papers citing papers by Daniel M. Chafets

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel M. Chafets. 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 Daniel M. Chafets. The network helps show where Daniel M. Chafets may publish in the future.

Co-authorship network of co-authors of Daniel M. Chafets

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

All Works

18 of 18 papers shown
1.
Deng, Xutao, Clara Di Germanio, Pamela Milani, et al.. (2025). Donor genetics and storage conditions influence mitochondrial DNA and extracellular vesicle levels in RBC units. JCI Insight. 10(14). 1 indexed citations
2.
Germanio, Clara Di, Valerie Durkalski‐Mauldin, Eric Leifer, et al.. (2025). Viral and Immune Factors Associated With COVID-19 Outcome in the C3PO Trial of Convalescent Plasma. The Journal of Infectious Diseases. 231(5). 1198–1209.
3.
Kelly, Shannon, Evan Jacobs, Mars Stone, et al.. (2020). Influence of sickle cell disease on susceptibility to HIV infection. PLoS ONE. 15(4). e0218880–e0218880. 8 indexed citations
4.
Jin, Jing, Michael B. Sherman, Daniel M. Chafets, et al.. (2018). An attenuated replication-competent chikungunya virus with a fluorescently tagged envelope. PLoS neglected tropical diseases. 12(7). e0006693–e0006693. 7 indexed citations
5.
Bakkour, Sonia, Daniel M. Chafets, Wen Li, et al.. (2018). Minimal infectious dose and dynamics of Babesia microti parasitemia in a murine model. Transfusion. 58(12). 2903–2910. 8 indexed citations
6.
Bakkour, Sonia, Jason P. Acker, Daniel M. Chafets, et al.. (2016). Manufacturing method affects mitochondrial DNA release and extracellular vesicle composition in stored red blood cells. Vox Sanguinis. 111(1). 22–32. 57 indexed citations
7.
Jin, Jing, Nathan M. Liss, Dong-Hua Chen, et al.. (2015). Neutralizing Monoclonal Antibodies Block Chikungunya Virus Entry and Release by Targeting an Epitope Critical to Viral Pathogenesis. Cell Reports. 13(11). 2553–2564. 81 indexed citations
8.
9.
Bakkour, Sonia, Daniel M. Chafets, Wen Li, et al.. (2014). Development of a mitochondrial DNA real‐time polymerase chain reaction assay for quality control of pathogen reduction with riboflavin and ultraviolet light. Vox Sanguinis. 107(4). 351–359. 25 indexed citations
10.
Bloch, Evan M., Tzong‐Hae Lee, Peter J. Krause, et al.. (2013). Development of a real‐time polymerase chain reaction assay for sensitive detection and quantitation of Babesia microti infection. Transfusion. 53(10). 2299–2306. 46 indexed citations
11.
Lee, Tzong‐Hae, Daniel M. Chafets, Robert J. Biggar, Joseph M. McCune, & Michael P. Busch. (2010). The Role of Transplacental Microtransfusions of Maternal Lymphocytes in In Utero HIV Transmission. JAIDS Journal of Acquired Immune Deficiency Syndromes. 55(2). 143–147. 13 indexed citations
12.
Utter, Garth H., Tzong‐Hae Lee, Ryan Rivers, et al.. (2008). Microchimerism decades after transfusion among combat‐injured US veterans from the Vietnam, Korean, and World War II conflicts. Transfusion. 48(8). 1609–1615. 26 indexed citations
13.
Kwaan, Nicholas, Tzong‐Hae Lee, Daniel M. Chafets, et al.. (2006). Long‐Term Variations in Human T Lymphotropic Virus (HTLV)–I and HTLV‐II Proviral Loads and Association with Clinical Data. The Journal of Infectious Diseases. 194(11). 1557–1564. 43 indexed citations
14.
Lee, Tzong‐Hae, Daniel M. Chafets, William Reed, et al.. (2006). Enhanced ascertainment of microchimerism with real‐time quantitative polymerase chain reaction amplification of insertion‐deletion polymorphisms. Transfusion. 46(11). 1870–1878. 43 indexed citations
15.
Lee, Tzong‐Hae, Teresa Paglieroni, Garth H. Utter, et al.. (2005). High‐level long‐term white blood cell microchimerism after transfusion of leukoreduced blood components to patients resuscitated after severe traumatic injury. Transfusion. 45(8). 1280–1290. 59 indexed citations
16.
Wang, Baoguang, Donna Smith, Catharie C. Nass, et al.. (2005). A Prospective Study of Sexual Transmission of Human T Lymphotropic Virus (HTLV)–I and HTLV‐II. The Journal of Infectious Diseases. 191(9). 1490–1497. 85 indexed citations
17.
Lee, Tzong‐Hae, Daniel M. Chafets, Michael P. Busch, & Edward L. Murphy. (2004). Quantitation of HTLV-I and II proviral load using real-time quantitative PCR with SYBR Green chemistry. Journal of Clinical Virology. 31(4). 275–282. 59 indexed citations
18.

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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