James Snowden

677 total citations
13 papers, 376 citations indexed

About

James Snowden is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Immunology. According to data from OpenAlex, James Snowden has authored 13 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Molecular Biology and 8 papers in Immunology. Recurrent topics in James Snowden's work include Monoclonal and Polyclonal Antibodies Research (10 papers), Glycosylation and Glycoproteins Research (6 papers) and T-cell and B-cell Immunology (6 papers). James Snowden is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (10 papers), Glycosylation and Glycoproteins Research (6 papers) and T-cell and B-cell Immunology (6 papers). James Snowden collaborates with scholars based in United Kingdom, Switzerland and Norway. James Snowden's co-authors include Charlotte M. Deane, Aleksandr Kovaltsuk, Sebastian Kelm, Konrad Krawczyk, Jinwoo Leem, Alastair D. G. Lawson, Wing Ki Wong, Laura Griffin, Terry Baker and U. Wernery and has published in prestigious journals such as The Journal of Immunology, PLoS Biology and Frontiers in Immunology.

In The Last Decade

James Snowden

12 papers receiving 359 citations

Peers

James Snowden
L. Mitchell United Kingdom
Wei‐Li Ling Singapore
Wai‐Heng Lua Singapore
Lilia A. Rabia United States
Esther M. Yoo United States
Simon M. Meng Switzerland
Hye‐Na Kang Switzerland
L. Mitchell United Kingdom
James Snowden
Citations per year, relative to James Snowden James Snowden (= 1×) peers L. Mitchell

Countries citing papers authored by James Snowden

Since Specialization
Citations

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

Fields of papers citing papers by James Snowden

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Snowden

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

All Works

13 of 13 papers shown
1.
Adams, Ralph, Zainab Ahdash, Matthew Coates, et al.. (2023). Serum albumin binding knob domains engineered within a VH framework III bispecific antibody format and as chimeric peptides. Frontiers in Immunology. 14. 1170357–1170357. 9 indexed citations
2.
Wong, Wing Ki, Alexander Bujotzek, Guy Georges, et al.. (2021). Ab-Ligity: identifying sequence-dissimilar antibodies that bind to the same epitope. mAbs. 13(1). 1873478–1873478. 28 indexed citations
3.
Laabei, Maisem, Zainab Ahdash, Melissa A. Graewert, et al.. (2021). The allosteric modulation of complement C5 by knob domain peptides. eLife. 10. 17 indexed citations
4.
Scott-Tucker, Anthony, et al.. (2020). Isolation of antigen-specific, disulphide-rich knob domain peptides from bovine antibodies. PLoS Biology. 18(9). e3000821–e3000821. 18 indexed citations
5.
Kovaltsuk, Aleksandr, Matthew I. J. Raybould, Wing Ki Wong, et al.. (2020). Structural diversity of B-cell receptor repertoires along the B-cell differentiation axis in humans and mice. PLoS Computational Biology. 16(2). e1007636–e1007636. 24 indexed citations
6.
Krawczyk, Konrad, Sebastian Kelm, Aleksandr Kovaltsuk, et al.. (2018). Structurally Mapping Antibody Repertoires. Frontiers in Immunology. 9. 1698–1698. 29 indexed citations
7.
Kovaltsuk, Aleksandr, Jinwoo Leem, Sebastian Kelm, et al.. (2018). Observed Antibody Space: A Resource for Data Mining Next-Generation Sequencing of Antibody Repertoires. The Journal of Immunology. 201(8). 2502–2509. 149 indexed citations
8.
Kovaltsuk, Aleksandr, Konrad Krawczyk, Sebastian Kelm, James Snowden, & Charlotte M. Deane. (2018). Filtering Next-Generation Sequencing of the Ig Gene Repertoire Data Using Antibody Structural Information. The Journal of Immunology. 201(12). 3694–3704. 7 indexed citations
9.
Voorhoeve, Alex, Tessa Tan-Torres Edejer, Lydia Kapiriri, et al.. (2017). Making Fair Choices on the Path to Universal Health Coverage: Applying Principles to Difficult Cases. Health Systems & Reform. 3(4). 301–312. 10 indexed citations
10.
Voorhoeve, Alex, Tessa Tan-Torres Edejer, Lydia Kapiriri, et al.. (2016). Three Case Studies in Making Fair Choices on the Path to Universal Health Coverage.. PubMed. 18(2). 11–22. 10 indexed citations
11.
Griffin, Laura, James Snowden, Alastair D. G. Lawson, et al.. (2014). Analysis of heavy and light chain sequences of conventional camelid antibodies from Camelus dromedarius and Camelus bactrianus species. Journal of Immunological Methods. 405. 35–46. 36 indexed citations
13.
Snowden, James. (1995). New Books and Articles. Costume. 29(1). 115–121. 1 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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