Gabriel Defang

652 total citations
19 papers, 403 citations indexed

About

Gabriel Defang is a scholar working on Infectious Diseases, Epidemiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Gabriel Defang has authored 19 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Infectious Diseases, 8 papers in Epidemiology and 8 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Gabriel Defang's work include Mosquito-borne diseases and control (8 papers), Influenza Virus Research Studies (7 papers) and Viral Infections and Vectors (7 papers). Gabriel Defang is often cited by papers focused on Mosquito-borne diseases and control (8 papers), Influenza Virus Research Studies (7 papers) and Viral Infections and Vectors (7 papers). Gabriel Defang collaborates with scholars based in United States, Egypt and Pakistan. Gabriel Defang's co-authors include Kanakatte Raviprakash, Timothy Burgess, Tahaniyat Lalani, Nancy F. Crum‐Cianflone, Dennis J. Faix, Patrick J. Blair, Lynn E. Eberly, Christopher Duplessis, Erik Iverson and Shuenn-Jue Wu and has published in prestigious journals such as PLoS ONE, Analytical Chemistry and Clinical Infectious Diseases.

In The Last Decade

Gabriel Defang

18 papers receiving 389 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gabriel Defang United States 12 192 127 96 75 66 19 403
Qingrui Huang China 12 154 0.8× 246 1.9× 150 1.6× 106 1.4× 93 1.4× 23 514
Oliver Kürsteiner Switzerland 6 193 1.0× 158 1.2× 88 0.9× 67 0.9× 131 2.0× 10 416
Subhash V. Kapre India 13 309 1.6× 146 1.1× 67 0.7× 27 0.4× 37 0.6× 24 429
J. Wilschut Netherlands 6 117 0.6× 88 0.7× 119 1.2× 46 0.6× 90 1.4× 6 365
Raj Kalkeri United States 13 136 0.7× 346 2.7× 89 0.9× 167 2.2× 36 0.5× 34 472
Katrina M. Nolan United States 12 298 1.6× 106 0.8× 49 0.5× 32 0.4× 108 1.6× 18 463
Panke Qu United States 15 90 0.5× 664 5.2× 215 2.2× 56 0.7× 62 0.9× 15 740
Su Hui Catherine Teo Singapore 6 72 0.4× 448 3.5× 95 1.0× 85 1.1× 47 0.7× 8 591
Meagan Bolles United States 6 83 0.4× 600 4.7× 112 1.2× 40 0.5× 92 1.4× 7 695
Erica Silberstein United States 12 104 0.5× 155 1.2× 97 1.0× 28 0.4× 77 1.2× 18 421

Countries citing papers authored by Gabriel Defang

Since Specialization
Citations

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

Fields of papers citing papers by Gabriel Defang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriel Defang

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

All Works

19 of 19 papers shown
1.
Balinsky, Corey A., et al.. (2022). Pseudovirus-Based Assays for the Measurement of Antibody-Mediated Neutralization of SARS-CoV-2. Methods in molecular biology. 2452. 361–378. 1 indexed citations
2.
Ewing, Daniel, Ying Cheng, Peifang Sun, et al.. (2021). Immunogenicity of Adjuvanted Psoralen-Inactivated SARS-CoV-2 Vaccines and SARS-CoV-2 Spike Protein DNA Vaccines in BALB/c Mice. Pathogens. 10(5). 626–626. 8 indexed citations
3.
Chen, Huawei, et al.. (2021). Independent Evaluation of Two Prototype Immunochromatographic Tests for Dengue Fever Developed by InBios. Military Medicine. 187(5-6). e655–e660.
4.
5.
Ewing, Daniel, Kanakatte Raviprakash, Gabriel Defang, et al.. (2020). Comparison of purified psoralen-inactivated and formalin-inactivated dengue vaccines in mice and nonhuman primates. Vaccine. 38(17). 3313–3320. 22 indexed citations
6.
Schaecher, Kurt E., et al.. (2019). Nosocomial outbreak of influenza A H3N2 in an inpatient oncology unit related to health care workers presenting to work while ill. American Journal of Infection Control. 47(6). 683–687. 30 indexed citations
7.
8.
Anderson, George P., Jinny L. Liu, Lisa C. Shriver‐Lake, et al.. (2019). Oriented Immobilization of Single-Domain Antibodies Using SpyTag/SpyCatcher Yields Improved Limits of Detection. Analytical Chemistry. 91(15). 9424–9429. 63 indexed citations
9.
Shriver‐Lake, Lisa C., Jinny L. Liu, Dan Zabetakis, et al.. (2018). Selection and Characterization of Anti-Dengue NS1 Single Domain Antibodies. Scientific Reports. 8(1). 18086–18086. 20 indexed citations
10.
Sun, Peifang, Nancy F. Crum‐Cianflone, Gabriel Defang, et al.. (2017). Evaluation of T and B memory cell responses elicited by the pandemic H1N1 vaccine in HIV-infected and HIV-uninfected individuals. Vaccine. 35(45). 6103–6111. 2 indexed citations
11.
Yaqub, Tahir, Muhammad Zubair Shabbir, Nadia Mukhtar, et al.. (2017). Detection of selected arboviral infections in patients with history of persistent fever in Pakistan. Acta Tropica. 176. 34–38. 6 indexed citations
12.
Maman, Issaka, et al.. (2014). Implementation of Influenza-like illness Sentinel Surveillance in Togo. BMC Public Health. 14(1). 981–981. 12 indexed citations
13.
Frey, Kenneth G., C. L. Redden, Kimberly A. Bishop‐Lilly, et al.. (2014). Full-Genome Sequence of Human Betacoronavirus 2c Jordan-N3/2012 after Serial Passage in Mammalian Cells. Genome Announcements. 2(3). 9 indexed citations
14.
Defang, Gabriel, Nicholas J. Martin, Timothy Burgess, et al.. (2012). Comparative Analysis of Hemagglutination Inhibition Titers Generated Using Temporally Matched Serum and Plasma Samples. PLoS ONE. 7(12). e48229–e48229. 19 indexed citations
15.
Crum‐Cianflone, Nancy F., Erik Iverson, Gabriel Defang, et al.. (2011). Durability of antibody responses after receipt of the monovalent 2009 pandemic influenza A (H1N1) vaccine among HIV-infected and HIV-uninfected adults. Vaccine. 29(17). 3183–3191. 44 indexed citations
16.
Crum‐Cianflone, Nancy F., Gary Collins, Gabriel Defang, et al.. (2011). Immunoglobulin G subclass levels and antibody responses to the 2009 influenza A (H1N1) monovalent vaccine among human immunodeficiency virus (HIV)-infected and HIV-uninfected adults. Clinical & Experimental Immunology. 168(1). 135–141. 14 indexed citations
17.
Defang, Gabriel, Dimple Khetawat, Christopher C. Broder, & Gerald V. Quinnan. (2010). Induction of neutralizing antibodies to Hendra and Nipah glycoproteins using a Venezuelan equine encephalitis virus in vivo expression system. Vaccine. 29(2). 212–220. 27 indexed citations
18.
Crum‐Cianflone, Nancy F., Lynn E. Eberly, Christopher Duplessis, et al.. (2010). Immunogenicity of a Monovalent 2009 Influenza A (H1N1) Vaccine in an Immunocompromised Population: A Prospective Study Comparing HIV-Infected Adults with HIV-Uninfected Adults. Clinical Infectious Diseases. 52(1). 138–146. 83 indexed citations
19.
Raviprakash, Kanakatte, Gabriel Defang, Timothy Burgess, & Kevin R. Porter. (2009). Advances in dengue vaccine development. Human Vaccines. 5(8). 520–528. 21 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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