Margaret Doherty

1.0k citations
18 papers · 706 · h-index 11

Impact in

    • Glycosylation and Glycoproteins Research
    • Protein Kinase Regulation and GTPase Signaling
    • PI3K/AKT/mTOR signaling in cancer
    • Metabolism, Diabetes, and Cancer

Papers in

Margaret Doherty

17 papers receiving 689 citations

Peers

Margaret Doherty
Comparison fields: 5 of 81
  • Molecular Biology 539
  • Cell Biology 94
  • Radiology, Nuclear Medicine and Imaging 109
  • Pharmacology 35
  • Spectroscopy 66
Replace Stefan Müllner with:
Stefan Müllner Germany
Per Olov Gunnarsson Sweden
Yutaro Azuma Japan
Mark Hilliard Ireland
Takeshi Nakanishi Japan
Akira Kamei Japan
U. Bicker Germany
Deborah Rothman United States
Pierre Sabatier Sweden
Jason E. Drury United States
Margaret Doherty relative to Stefan Müllner Germany Stefan Müllner's profile →
Citations per field
00.5×3.5×
Stefan Müllner · 1×
Citations per year

Countries citing papers authored by Margaret Doherty

Since Specialization
Citations

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

Fields of papers citing papers by Margaret Doherty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2001284
2 201865
3 200064
4 201161
5 201339
6 201238
7 201830
8 201929
9 201226
10 201221
11 201612
12 201110
13 20019
14
Plasma N-glycans in colorectal cancer risk
20188
15 20017
16 20232
17 20231
18 20240

About Margaret Doherty

Margaret Doherty is a scholar working on Molecular Biology, Organic Chemistry, Radiology, Nuclear Medicine and Imaging, Clinical Psychology and Public Health, Environmental and Occupational Health, having authored 18 papers that have together received 706 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (10 papers), Carbohydrate Chemistry and Synthesis (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Grief, Bereavement, and Mental Health (3 papers), Palliative Care and End-of-Life Issues (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Galectins and Cancer Biology (2 papers) and Pancreatic function and diabetes (1 paper). The work is most often cited by research in Molecular Biology (539 citations), Cell Biology (94 citations), Radiology, Nuclear Medicine and Imaging (109 citations), Pharmacology (35 citations) and Spectroscopy (66 citations). Margaret Doherty has collaborated with scholars based in Ireland, United Kingdom and United States. Frequent co-authors include Pauline M. Rudd, Willy Malaisse, K. Sandy Pang, Jonathan Bones, Josef Penninger, Xavier Pesesse, Stéphane Schurmans, Jens Behrends, Y. Le Marchand‐Brustel and Jacques E. Dumont. Their work appears in journals such as Journal of Proteome Research, Journal of Palliative Care, Scientific Reports, Nature and PROTEOMICS.

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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