Jacqueline Shaw

1.9k citations
26 papers · 1.4k indexed · h-index 20

Impact in

    • Cell Adhesion Molecules Research
  • Hematology top 2%
    • Autoimmune and Inflammatory Disorders Research
    • Acute Myeloid Leukemia Research

Papers in

    • Cell Adhesion Molecules Research 9
    • Acute Myeloid Leukemia Research 4
    • Platelet Disorders and Treatments 4
    • Autoimmune and Inflammatory Disorders Research 3

Jacqueline Shaw

26 papers receiving 1.4k citations

Peers

Jacqueline Shaw
Comparison fields: 5 of 97
  • Immunology and Allergy 294
  • Hematology 407
  • Immunology 593
  • Rheumatology 301
  • Cell Biology 128
Replace Thorsten B. Feyerabend with:
Thorsten B. Feyerabend Germany
Dvorak Am United States
Michael March United States
Sarah Shapiro Israel
Gemma M. Dingjan Netherlands
Yu-Min Huang Sweden
P M Brickell United Kingdom
Nathalie Renard France
Kajal Sitwala United States
Jacqueline Shaw relative to Thorsten B. Feyerabend Germany Thorsten B. Feyerabend's profile →
Citations per field
00.5×1.5×2.0×
Thorsten B. Feyerabend · 1×
Citations per year

Countries citing papers authored by Jacqueline Shaw

Since Specialization
Citations

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

Fields of papers citing papers by Jacqueline Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201770
2 201697
3 201534
4 201538
5 20157
6 201517
7 201324
8 201322
9 201219
10 201244
11 200391
12 200122
13 200115
14 200139
15 200053
16 200048
17 1999133
18 199825
19 1993230
20 198627

About Jacqueline Shaw

Jacqueline Shaw is a scholar working on Immunology and Allergy, Hematology, Immunology, Clinical Biochemistry and Biochemistry, having authored 26 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (9 papers), Immune Cell Function and Interaction (7 papers), Acute Myeloid Leukemia Research (4 papers), Platelet Disorders and Treatments (4 papers), T-cell and B-cell Immunology (4 papers), Spondyloarthritis Studies and Treatments (3 papers), Autoimmune and Inflammatory Disorders Research (3 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Immunology and Allergy (294 citations), Hematology (407 citations), Immunology (593 citations), Rheumatology (301 citations) and Cell Biology (128 citations). Jacqueline Shaw has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include S.K. Alex Law, Simon Kollnberger, Paul Bowness, Isabel Wong‐Baeza, Kingsley Micklem, Xiping Zhang, David Y. Mason, Yin Yao Dong, Antony C. Willis and Anna Ridley. Their work appears in journals such as The Journal of Immunology, FEBS Letters, Biochemical Journal, Journal of Clinical Investigation and Clinical & Experimental Immunology.

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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