J White

3.9k total citations · 2 hit papers
20 papers, 3.2k citations indexed

About

J White is a scholar working on Epidemiology, Molecular Biology and Immunology. According to data from OpenAlex, J White has authored 20 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Epidemiology, 8 papers in Molecular Biology and 6 papers in Immunology. Recurrent topics in J White's work include Influenza Virus Research Studies (7 papers), interferon and immune responses (4 papers) and Mosquito-borne diseases and control (4 papers). J White is often cited by papers focused on Influenza Virus Research Studies (7 papers), interferon and immune responses (4 papers) and Mosquito-borne diseases and control (4 papers). J White collaborates with scholars based in United States and Germany. J White's co-authors include Ari Helenius, Robert W. Doms, M J Gething, Karl S. Matlin, Michael D. Waterfield, J Kartenbeck, E.B. Brown, S.R. Martin, Peter M. Bayley and Ian A. Wilson and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

J White

20 papers receiving 2.9k citations

Hit Papers

Changes in the conformation of influenza virus hemaggluti... 1981 2026 1996 2011 1982 1981 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J White United States 16 1.6k 1.6k 645 635 465 20 3.2k
Kurt Bienz Switzerland 34 1.8k 1.1× 1.3k 0.8× 1.5k 2.4× 394 0.6× 352 0.8× 70 4.8k
Andreas Scheid United States 26 1.1k 0.7× 2.6k 1.6× 1.1k 1.7× 989 1.6× 359 0.8× 42 4.0k
Denise Egger Switzerland 33 1.7k 1.1× 1.2k 0.7× 1.5k 2.3× 361 0.6× 372 0.8× 57 4.6k
Brian W. J. Mahy United Kingdom 31 1.2k 0.8× 1.5k 0.9× 829 1.3× 960 1.5× 538 1.2× 88 3.6k
Donald F. Summers United States 40 2.5k 1.5× 1.7k 1.0× 1.3k 2.0× 1.3k 2.1× 484 1.0× 119 5.5k
Trudy G. Morrison United States 41 1.1k 0.6× 3.2k 2.0× 1.1k 1.7× 1.1k 1.8× 361 0.8× 105 4.4k
Lesley J. Calder United Kingdom 30 1.4k 0.9× 1.5k 0.9× 722 1.1× 286 0.5× 540 1.2× 50 3.0k
Stephen A. Wharton United Kingdom 38 2.0k 1.2× 3.0k 1.8× 809 1.3× 374 0.6× 759 1.6× 52 4.1k
R R Wagner United States 33 901 0.5× 1.4k 0.9× 448 0.7× 980 1.5× 393 0.8× 74 2.7k
Robert R. Wagner United States 38 1.4k 0.9× 2.0k 1.2× 805 1.2× 1.5k 2.4× 710 1.5× 122 4.5k

Countries citing papers authored by J White

Since Specialization
Citations

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

Fields of papers citing papers by J White

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J White

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

All Works

20 of 20 papers shown
1.
Dominko, Tanja, João Ramalho‐Santos, Anthony W.S. Chan, et al.. (1999). Optimization Strategies for Production of Mammalian Embryos by Nuclear Transfer. PubMed. 1(3). 143–152. 27 indexed citations
3.
Booy, Frank P., et al.. (1990). Conformational changes and fusion activity of influenza virus hemagglutinin of the H2 and H3 subtypes: effects of acid pretreatment. Journal of Virology. 64(8). 3824–3832. 130 indexed citations
4.
Gething, M J, Robert W. Doms, D. York, & J White. (1986). Studies on the mechanism of membrane fusion: site-specific mutagenesis of the hemagglutinin of influenza virus.. The Journal of Cell Biology. 102(1). 11–23. 283 indexed citations
5.
Doms, Robert W., Ari Helenius, & J White. (1985). Membrane fusion activity of the influenza virus hemagglutinin. The low pH-induced conformational change.. Journal of Biological Chemistry. 260(5). 2973–2981. 306 indexed citations
6.
Sambrook, Joe, Linda Rodgers, J White, & M J Gething. (1985). Lines of BPV-transformed murine cells that constitutively express influenza virus hemagglutinin.. The EMBO Journal. 4(1). 91–103. 84 indexed citations
7.
White, J. (1984). An Evaluation of EsD Typing by Isoelectric Focusing. Journal of the Forensic Science Society. 24(3). 177–178. 6 indexed citations
8.
Marsh, Mark, et al.. (1983). Interactions of Semliki Forest virus spike glycoprotein rosettes and vesicles with cultured cells.. The Journal of Cell Biology. 96(2). 455–461. 31 indexed citations
9.
Lestas, A. N. & J White. (1983). A Reappraisal of the γ-Glutamylcysteine Synthetase Activity in Haemolysates from Normal Erythrocytes by Two Different Methods. Annals of Clinical Biochemistry International Journal of Laboratory Medicine. 20(4). 241–246. 8 indexed citations
10.
White, J, J Kartenbeck, & Ari Helenius. (1982). Membrane fusion activity of influenza virus.. The EMBO Journal. 1(2). 217–222. 229 indexed citations
11.
Marsh, Mark, Karl S. Matlin, Kai Simons, et al.. (1982). Are Lysosomes a Site of Enveloped-virus Penetration?. Cold Spring Harbor Symposia on Quantitative Biology. 46(0). 835–843. 31 indexed citations
12.
Skehel, J.J., Peter M. Bayley, E.B. Brown, et al.. (1982). Changes in the conformation of influenza virus hemagglutinin at the pH optimum of virus-mediated membrane fusion.. Proceedings of the National Academy of Sciences. 79(4). 968–972. 602 indexed citations breakdown →
13.
White, J, Ari Helenius, & Mary‐Jane Gething. (1982). Haemagglutinin of influenza virus expressed from a cloned gene promotes membrane fusion. Nature. 300(5893). 658–659. 189 indexed citations
14.
White, J, Karl S. Matlin, & Ari Helenius. (1981). Cell fusion by Semliki Forest, influenza, and vesicular stomatitis viruses.. The Journal of Cell Biology. 89(3). 674–679. 480 indexed citations breakdown →
15.
White, J, J Kartenbeck, & Ari Helenius. (1980). Fusion of Semliki forest virus with the plasma membrane can be induced by low pH.. The Journal of Cell Biology. 87(1). 264–272. 173 indexed citations
16.
White, J & Ari Helenius. (1980). pH-dependent fusion between the Semliki Forest virus membrane and liposomes.. Proceedings of the National Academy of Sciences. 77(6). 3273–3277. 290 indexed citations
17.
Pober, Jordan S., et al.. (1979). Selective labelling of the hydrophobic segments of intrinsic membrane proteins with a lipophilic photogenerated carbene. Nature. 280(5725). 841–843. 47 indexed citations
18.
White, J, et al.. (1979). An apparent rare variant of human “red cell” acid phosphatase (ACP1). Forensic Science International. 14(2). 157–157. 1 indexed citations
19.
Gething, M J, J White, & Michael D. Waterfield. (1978). Purification of the fusion protein of Sendai virus: analysis of the NH2-terminal sequence generated during precursor activation.. Proceedings of the National Academy of Sciences. 75(6). 2737–2740. 222 indexed citations
20.
White, J. (1953). The position of Taylor's 1233 strain of virus in the human red cell receptor gradient.. PubMed. 34(6). 668–73. 3 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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