Lucy Willis

1.7k citations
17 papers · 1.4k · h-index 13

Impact in

  • Hematology top 2%
    • Hematopoietic Stem Cell Transplantation
  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses

Papers in

    • Hematopoietic Stem Cell Transplantation 11
    • Immune Cell Function and Interaction 8
    • T-cell and B-cell Immunology 7
    • Immunotherapy and Immune Responses 4

Lucy Willis

16 papers receiving 1.4k citations

Peers

Lucy Willis
Comparison fields: 5 of 84
  • Hematology 519
  • Immunology 735
  • Genetics 242
  • Research and Theory 15
  • Oncology 238
Replace Judith A. Shizuru with:
Judith A. Shizuru United States
Ellen Schrama Netherlands
Debora Cecchini Italy
Beatrice Del Papa Italy
Miriam Fogli Italy
Belén Blanco Spain
Aurélie Trenado France
Simon N. Robinson United States
Alison Rice Australia
Joan García‐López Spain
Lucy Willis relative to Judith A. Shizuru United States Judith A. Shizuru's profile →
Citations per field
00.5×1.5×
Judith A. Shizuru · 1×
Citations per year

Countries citing papers authored by Lucy Willis

Since Specialization
Citations

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

Fields of papers citing papers by Lucy Willis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2005372
2 2003139
3 2003133
4 2002129
5 2003118
6 2003116
7 2004115
8 200774
9 200355
10 200453
11 200538
12 200729
13 200217
14 20216
15 20243
16 20221
17 19941

About Lucy Willis

Lucy Willis is a scholar working on Hematology, Immunology, General Health Professions, Public Health, Environmental and Occupational Health and Cardiology and Cardiovascular Medicine, having authored 17 papers that have together received 1.4k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (11 papers), Immune Cell Function and Interaction (8 papers), T-cell and B-cell Immunology (7 papers), Immunotherapy and Immune Responses (4 papers), Healthcare professionals’ stress and burnout (2 papers), Innovations in Medical Education (2 papers), Cardiac, Anesthesia and Surgical Outcomes (1 paper) and Posttraumatic Stress Disorder Research (1 paper). The work is most often cited by research in Hematology (519 citations), Immunology (735 citations), Genetics (242 citations), Research and Theory (15 citations) and Oncology (238 citations). Lucy Willis has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Marcel R.M. van den Brink, Tiziano Barberi, Nicholas D. Socci, Lorenz Studer, Önder Alpdoğan, Jeffrey M. Eng, Stephanie J. Muriglan, Andrew S. Greenberg, Barry J. Kappel and George F. Murphy. Their work appears in journals such as Blood, Nature Medicine, Journal of Clinical Investigation, BMC Pregnancy and Childbirth and The Journal of 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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