John S. Burke

5.1k total citations
9 papers, 301 citations indexed

About

John S. Burke is a scholar working on Infectious Diseases, Epidemiology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, John S. Burke has authored 9 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Infectious Diseases, 4 papers in Epidemiology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in John S. Burke's work include SARS-CoV-2 and COVID-19 Research (5 papers), Influenza Virus Research Studies (3 papers) and COVID-19 Clinical Research Studies (3 papers). John S. Burke is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (5 papers), Influenza Virus Research Studies (3 papers) and COVID-19 Clinical Research Studies (3 papers). John S. Burke collaborates with scholars based in United States, Germany and France. John S. Burke's co-authors include Galit Alter, Stephanie Fischinger, Douglas A. Lauffenburger, Caroline Atyeo, Edward T. Ryan, Richelle C. Charles, Matthew D. Slein, Hendrik Streeck, Carolin Loos and Chuangqi Wang and has published in prestigious journals such as Cell, Nature Communications and Immunity.

In The Last Decade

John S. Burke

9 papers receiving 299 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
John S. Burke	258	76	55	53	37	9	301
Tomer Zohar	290 1.1×	83 1.1×	62 1.1×	60 1.1×	41 1.1×	5	367
Jaewon Kang	179 0.7×	75 1.0×	22 0.4×	50 0.9×	27 0.7×	11	232
Chengzi I. Kaku	230 0.9×	93 1.2×	29 0.5×	32 0.6×	52 1.4×	9	276
Yannick Galipeau	270 1.0×	38 0.5×	36 0.7×	14 0.3×	51 1.4×	26	340
Maren Bacher	358 1.4×	67 0.9×	24 0.4×	20 0.4×	90 2.4×	4	380
Cindy Wu	259 1.0×	73 1.0×	34 0.6×	13 0.2×	60 1.6×	3	289
Wiebke Moskorz	297 1.2×	48 0.6×	34 0.6×	14 0.3×	34 0.9×	6	357
Fatima Barmania	192 0.7×	74 1.0×	27 0.5×	18 0.3×	67 1.8×	5	298
Sandrine Van Eeckhoudt	380 1.5×	36 0.5×	20 0.4×	25 0.5×	41 1.1×	11	405
Alex Farina	193 0.7×	109 1.4×	21 0.4×	14 0.3×	42 1.1×	7	338

Countries citing papers authored by John S. Burke

Since Specialization

Citations

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

Fields of papers citing papers by John S. Burke

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John S. Burke. 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 John S. Burke. The network helps show where John S. Burke may publish in the future.

Co-authorship network of co-authors of John S. Burke

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

All Works

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9 of 9 papers shown

Boudreau, Carolyn M., John S. Burke, Ashraf S. Yousif, et al.. (2023). Antibody-mediated NK cell activation as a correlate of immunity against influenza infection. Nature Communications. 14(1). 5170–5170. 7 indexed citations

Boudreau, Carolyn M., John S. Burke, Matthew J. Gorman, et al.. (2023). Pre-existing Fc profiles shape the evolution of neutralizing antibody breadth following influenza vaccination. Cell Reports Medicine. 4(3). 100975–100975. 5 indexed citations

Boudreau, Carolyn M., John S. Burke, Kiel Shuey, et al.. (2022). Dissecting Fc signatures of protection in neonates following maternal influenza vaccination in a placebo-controlled trial. Cell Reports. 38(6). 110337–110337. 3 indexed citations

Herman, Jonathan D., Chuangqi Wang, John S. Burke, et al.. (2022). Nucleocapsid-specific antibody function is associated with therapeutic benefits from COVID-19 convalescent plasma therapy. Cell Reports Medicine. 3(11). 100811–100811. 17 indexed citations

Kapłonek, Paulina, Stephanie Fischinger, Deniz Cizmeci, et al.. (2022). mRNA-1273 vaccine-induced antibodies maintain Fc effector functions across SARS-CoV-2 variants of concern. Immunity. 55(2). 355–365.e4. 59 indexed citations

Zohar, Tomer, Carolin Loos, Stephanie Fischinger, et al.. (2020). Compromised Humoral Functional Evolution Tracks with SARS-CoV-2 Mortality. Cell. 183(6). 1508–1519.e12. 153 indexed citations

Barrett, Christopher D., Hunter B. Moore, Ernest E. Moore, et al.. (2020). Fibrinolytic therapy for refractory COVID‐19 acute respiratory distress syndrome: Scientific rationale and review. Research and Practice in Thrombosis and Haemostasis. 4(4). 524–531. 30 indexed citations

Atyeo, Caroline, Matthew D. Slein, Stephanie Fischinger, et al.. (2020). Therapeutic Potential of SARS-CoV-2-Specific Monoclonal Antibody CR3022. SSRN Electronic Journal. 1 indexed citations

Loos, Carolin, Caroline Atyeo, Stephanie Fischinger, et al.. (2020). Evolution of Early SARS-CoV-2 and Cross-Coronavirus Immunity. mSphere. 5(5). 26 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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