Suzanne Crawley

39 papers receiving 2.4k citations

Peers

Suzanne Crawley
Comparison fields: 5 of 94
  • Immunology and Allergy 228
  • Pathology and Forensic Medicine 421
  • Oncology 626
  • Molecular Biology 1.5k
  • Immunology 417
Replace Cathy Staedel with:
Cathy Staedel France
S.S. Kerwar United States
Iafa Keydar Israel
Christine Galustian United Kingdom
Nicolas Moniaux United States
Susan A. Brooks United Kingdom
Jens Oliver Funk Germany
Dennis M. Zaller United States
Claudine Rancourt Canada
Dorothy Hudig United States
Suzanne Crawley relative to Cathy Staedel France Cathy Staedel's profile →
Citations per field
00.5×3.8×
Cathy Staedel · 1×
Citations per year

Countries citing papers authored by Suzanne Crawley

Since Specialization
Citations

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

Fields of papers citing papers by Suzanne Crawley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004312
2 1996292
3 2002204
4 1993198
5 2002179
6 2001126
7 200295
8 199193
9 200390
10 200081
11 200577
12 199972
13 200561
14 199759
15 200654
16 200652
17 199337
18
Aberrant expression of muc3 and muc4 membrane-associated mucins and sialyl lex antigen in pancreatic intraepithelial neoplasia
200336
19 199929
20 200729

About Suzanne Crawley

Suzanne Crawley is a scholar working on Molecular Biology, Organic Chemistry, Immunology, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 40 papers that have together received 2.4k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (23 papers), Carbohydrate Chemistry and Synthesis (14 papers), Galectins and Cancer Biology (6 papers), Pancreatic and Hepatic Oncology Research (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Enzyme Production and Characterization (4 papers), Immune Cell Function and Interaction (3 papers) and Heat shock proteins research (2 papers). The work is most often cited by research in Immunology and Allergy (228 citations), Pathology and Forensic Medicine (421 citations), Oncology (626 citations), Molecular Biology (1.5k citations) and Immunology (417 citations). Suzanne Crawley has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include James R. Gum, Young S. Kim, Ole Hindsgaul, Monica M. Palcic, Marvin H. Sleisenger, Osamu Kanie, James W. Hicks, Patricia P. Wilkins, Jonathan P. Terdiman and Richard D. Cummings. Their work appears in journals such as Journal of Biological Chemistry, Biochemical and Biophysical Research Communications, Carbohydrate Research, International Journal of Oncology and Clinical Cancer 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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