David Peers

1.0k total citations · 1 hit paper
8 papers, 816 citations indexed

About

David Peers is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Virology. According to data from OpenAlex, David Peers has authored 8 papers receiving a total of 816 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Virology. Recurrent topics in David Peers's work include Glycosylation and Glycoproteins Research (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and HIV Research and Treatment (3 papers). David Peers is often cited by papers focused on Glycosylation and Glycoproteins Research (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and HIV Research and Treatment (3 papers). David Peers collaborates with scholars based in United States, France and Japan. David Peers's co-authors include Vanessa Chisholm, Terri Davis-Smyth, N. Ferrara, Kenneth J. Hillan, Ralph Schwall, Hans-Peter Gerber, Steven M. Chamow, Avi Ashkenazi, Randal A. Byrn and Phillip W. Berman and has published in prestigious journals such as Journal of Biological Chemistry, Nature Medicine and Nature Biotechnology.

In The Last Decade

David Peers

8 papers receiving 770 citations

Hit Papers

Vascular endothelial growth factor is essential for corpu... 1998 2026 2007 2016 1998 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Peers United States 8 578 131 124 121 116 8 816
Alison R. Malacko United States 10 495 0.9× 68 0.5× 639 5.2× 63 0.5× 70 0.6× 10 1.2k
Kirsi Hämäläinen Finland 17 468 0.8× 130 1.0× 211 1.7× 123 1.0× 141 1.2× 32 1.0k
LC Andersson Finland 15 355 0.6× 82 0.6× 209 1.7× 33 0.3× 29 0.3× 32 781
G. E. Moore United States 18 336 0.6× 104 0.8× 223 1.8× 55 0.5× 40 0.3× 51 882
Larry H. Rohde United States 15 295 0.5× 37 0.3× 96 0.8× 98 0.8× 25 0.2× 18 589
Russell Karp United States 11 374 0.6× 58 0.4× 210 1.7× 30 0.2× 21 0.2× 16 711
Seema V. Garde India 15 389 0.7× 38 0.3× 48 0.4× 117 1.0× 104 0.9× 45 909
R. L. Ceriani United States 12 566 1.0× 457 3.5× 355 2.9× 45 0.4× 45 0.4× 26 992
Sheri Nixdorf Australia 15 695 1.2× 31 0.2× 134 1.1× 159 1.3× 54 0.5× 20 914
Toivo Maimets Estonia 17 717 1.2× 28 0.2× 85 0.7× 129 1.1× 23 0.2× 51 1.0k

Countries citing papers authored by David Peers

Since Specialization
Citations

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

Fields of papers citing papers by David Peers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Peers

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

All Works

8 of 8 papers shown
1.
Papac, Damon I., John B. Briggs, Martin Gawlitzek, et al.. (1999). Engineering Chinese hamster ovary cells to maximize sialic acid content of recombinant glycoproteins. Nature Biotechnology. 17(11). 1116–1121. 147 indexed citations
2.
Peers, David, et al.. (1999). Secretion of glycosylation site mutants can be rescued by the signal/pro sequence of tissue plasminogen activator. Journal of Cellular Biochemistry. 75(3). 446–461. 11 indexed citations
3.
Ferrara, N., Terri Davis-Smyth, Hans-Peter Gerber, et al.. (1998). Vascular endothelial growth factor is essential for corpus luteum angiogenesis. Nature Medicine. 4(3). 336–340. 513 indexed citations breakdown →
4.
Chamow, Steven M., Scot A. Marsters, David Peers, et al.. (1995). A Humanized, Bispecific Immunoadhesin-Antibody that Retargets CD3+ Effectors to Kill HIV-1-Infected Cells. Journal of Hematotherapy. 4(5). 439–446. 35 indexed citations
5.
Chamow, Steven M., Timothy P. Kogan, Michael C. Venuti, et al.. (1994). Modification of CD4 Immunoadhesin with Monomethoxypoly(Ethylene Glycol) Aldehyde via Reductive Alkylation. Bioconjugate Chemistry. 5(2). 133–140. 31 indexed citations
6.
Haak‐Frendscho, Mary, Scot A. Marsters, Steven M. Chamow, et al.. (1993). Inhibition of interferon-gamma by an interferon-gamma receptor immunoadhesin.. PubMed. 79(4). 594–9. 16 indexed citations
7.
Chamow, Steven M., et al.. (1992). Conjugation of soluble CD4 without loss of biological activity via a novel carbohydrate-directed cross-linking reagent.. Journal of Biological Chemistry. 267(22). 15916–15922. 35 indexed citations
8.
Chamow, Steven M., David Peers, Randal A. Byrn, et al.. (1990). Enzymic cleavage of a CD4 immunoadhesin generates crystallizable, biologically active Fd-like fragments. Biochemistry. 29(42). 9885–9891. 28 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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