Donald E. Sykes

1.5k citations
39 papers · 1.3k · h-index 22

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 5
    • RNA Interference and Gene Delivery 5
    • Advanced biosensing and bioanalysis techniques 4
    • HIV Research and Treatment 9

Donald E. Sykes

39 papers receiving 1.3k citations

Peers

Donald E. Sykes
Comparison fields: 5 of 109
  • Virology 244
  • Biological Psychiatry 61
  • Neurology 167
  • Cancer Research 125
  • Immunology 163
Replace Zhi-Gang Jiang with:
Zhi-Gang Jiang China
Hui Wu China
Sheema Hashem Qatar
Tiziana Latronico Italy
Wenping Zhang China
Wenru Zhang China
Ranjeet Prasad Dash United States
Hans‐Peter Eck Germany
Margret C.M. Blom-Roosemalen Netherlands
Donald E. Sykes relative to Zhi-Gang Jiang China Zhi-Gang Jiang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Donald E. Sykes

Since Specialization
Citations

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

Fields of papers citing papers by Donald E. Sykes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Donald E. Sykes, 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 Donald E. Sykes Line = papers co-authored together Donald E. Sykes links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008120
2 2008114
3 2009104
4 200892
5 201084
6 201172
7 199157
8 200755
9 200654
10 201754
11 200744
12 201238
13 199837
14 201229
15 200329
16 201129
17 201627
18 198626
19 198324
20 199422

About Donald E. Sykes

Donald E. Sykes is a scholar working on Molecular Biology, Virology, Immunology, Immunology and Allergy and Neurology, having authored 39 papers that have together received 1.3k indexed citations. Recurring topics across this work include HIV Research and Treatment (9 papers), Glycosylation and Glycoproteins Research (5 papers), RNA Interference and Gene Delivery (5 papers), Advanced biosensing and bioanalysis techniques (4 papers), Galectins and Cancer Biology (3 papers), Barrier Structure and Function Studies (3 papers), Immunotherapy and Immune Responses (3 papers) and Peptidase Inhibition and Analysis (3 papers). The work is most often cited by research in Virology (244 citations), Biological Psychiatry (61 citations), Neurology (167 citations), Cancer Research (125 citations) and Immunology (163 citations). Donald E. Sykes has collaborated with scholars based in United States and Singapore. Frequent co-authors include Supriya D. Mahajan, Jessica L. Reynolds, Stanley A. Schwartz, Ravikumar Aalinkeel, Bindukumar Nair, B. Bindukumar, Paras N. Prasad, Milton M. Weiser, Kailash C. Chadha and Madhavan Nair. Their work appears in journals such as Immunological Investigations, Brain Research, Biochemical and Biophysical Research Communications, The Journal of Immunology and Carbohydrate Research.

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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