William Eng

27 papers receiving 2.3k citations

William Eng's Hit Papers

A Useful Guide to Lectin Binding: Machine-Learning Directed Annotation of 57 Unique Lectin Specificities 2022 · 175 citations
1750+1+2Years since publication50100150

Peers

William Eng
Comparison fields: 5 of 103
  • Cell Biology 866
  • Physiology 111
  • Molecular Biology 1.6k
  • Dermatology 168
  • Immunology 335
Replace José S. Ramalho with:
José S. Ramalho Portugal
Clive S. D’Santos United Kingdom
Amit Choudhury United States
Chloé C. Féral France
Jeffrey H. Hanke United States
J. Andrew Whitney United States
Radovan Dvorský Germany
Stig Linder Sweden
Heather M. Brown United States
Leo M. Carlin United Kingdom
William Eng relative to José S. Ramalho Portugal José S. Ramalho's profile →
Citations per field
00.5×1.5×
José S. Ramalho · 1×
Citations per year

Countries citing papers authored by William Eng

Since Specialization
Citations

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

Fields of papers citing papers by William Eng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006271
2 2011233
3 2007203
4 2012179
5
A Useful Guide to Lectin Binding: Machine-Learning Directed Annotation of 57 Unique Lectin Specificities
Hit paper breakdown →
2022175
6 2000138
7 2004129
8 2014128
9 2009127
10 2004113
11 2017103
12 2014102
13 200480
14 200366
15 201458
16 200651
17 200845
18 201729
19 202027
20 200418

About William Eng

William Eng is a scholar working on Molecular Biology, Cell Biology, Oncology, Immunology and Dermatology, having authored 28 papers that have together received 2.3k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (7 papers), Cellular transport and secretion (7 papers), Glycosylation and Glycoproteins Research (4 papers), Galectins and Cancer Biology (3 papers), Retinal Development and Disorders (3 papers), Cutaneous Melanoma Detection and Management (2 papers), Acute Myeloid Leukemia Research (2 papers) and Parkinson's Disease Mechanisms and Treatments (2 papers). The work is most often cited by research in Cell Biology (866 citations), Physiology (111 citations), Molecular Biology (1.6k citations), Dermatology (168 citations) and Immunology (335 citations). William Eng has collaborated with scholars based in United States, Netherlands and Mexico. Frequent co-authors include Lara K. Mahal, Thomas J. Melia, Claudio G. Giraudo, James E. Rothman, James E. Rothman, Kanoelani Pilobello, Karen D. Hendricks‐Muñoz, Oleg Varlamov, Richard D. Cummings and David F. Smith. Their work appears in journals such as American Journal of Dermatopathology, Journal of the American Academy of Dermatology, Science, Journal of Biological Chemistry and Proceedings of the National Academy of Sciences.

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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