D E Woods

2.0k citations
27 papers · 1.8k · h-index 19

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 4
    • RNA Interference and Gene Delivery 4
    • RNA Research and Splicing 3
    • RNA and protein synthesis mechanisms 3
    • Genomics and Chromatin Dynamics 3
    • Complement system in diseases 6

D E Woods

27 papers receiving 1.6k citations

Peers

D E Woods
Comparison fields: 5 of 110
  • Immunology 559
  • Hematology 287
  • Endocrinology, Diabetes and Metabolism 341
  • Genetics 163
  • Molecular Biology 898
Replace N Odartchenko with:
N Odartchenko Switzerland
R. Duncan Campbell United Kingdom
Jean‐Pierre Kerckaert France
T Meo France
G H Fey United States
W J Rutter United States
Daniel S. Pereira Brazil
François Godeau France
Michael A. Davitz United States
C. Jones United States
D E Woods relative to N Odartchenko Switzerland N Odartchenko's profile →
Citations per field
00.5×7.5×
N Odartchenko · 1×
Citations per year

Countries citing papers authored by D E Woods

Since Specialization
Citations

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

Fields of papers citing papers by D E Woods

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D E Woods. 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 D E Woods. The network helps show where D E Woods may publish in the future.

Co-authors

The 25 scholars most cited alongside D E Woods, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with D E Woods Line = papers co-authored together D E Woods links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1983372
2 1982221
3 1983173
4 1984131
5 1983112
6 198492
7 197987
8 198482
9 198380
10 198563
11 198359
12 198450
13 198344
14 198342
15 198037
16 198534
17 198329
18 198027
19 197818
20 200112

About D E Woods

D E Woods is a scholar working on Molecular Biology, Immunology, Radiology, Nuclear Medicine and Imaging, Genetics and Oncology, having authored 27 papers that have together received 1.8k indexed citations. Recurring topics across this work include Complement system in diseases (6 papers), Glycosylation and Glycoproteins Research (4 papers), RNA Interference and Gene Delivery (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), RNA Research and Splicing (3 papers), RNA and protein synthesis mechanisms (3 papers), Genomics and Chromatin Dynamics (3 papers) and Advanced Proteomics Techniques and Applications (2 papers). The work is most often cited by research in Immunology (559 citations), Hematology (287 citations), Endocrinology, Diabetes and Metabolism (341 citations), Genetics (163 citations) and Molecular Biology (898 citations). D E Woods has collaborated with scholars based in United States, United Kingdom and South Africa. Frequent co-authors include Harvey R. Colten, Gabriel Goldberger, Alexander S. Whitehead, Alyne Ricker, Alexander F. Markham, A.F. Markham, Bryant P. Bullock, J. L. Van den Brande, F.M.A. van Schaik and A. L. Nussbaum. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Nucleic Acids Research, Science and The EMBO Journal.

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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