Christopher Day

732 citations
7 papers · 542 · h-index 5

Impact in

  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immune cells in cancer

Papers in

    • Total Knee Arthroplasty Outcomes 3
    • Orthopaedic implants and arthroplasty 2
    • Orthopedic Infections and Treatments 2
    • Surgical Simulation and Training 1
    • Mesenchymal stem cell research 2

Christopher Day

7 papers receiving 538 citations

Peers

Christopher Day
Comparison fields: 5 of 57
  • Hematology 239
  • Immunology 177
  • Aging 11
  • Genetics 54
  • Cancer Research 74
Replace Keegan Rowe with:
Keegan Rowe Canada
Jeffrey M. Bernitz United States
Maja Jankovic United States
Karina Eiwen Germany
Huen Suk Kim United States
Alessandro Di Tullio Spain
Yalin Guo Germany
Hyung C. Suh United States
Yusuke Nakauchi United States
Wesley J. Woollard United Kingdom
Christopher Day relative to Keegan Rowe Canada Keegan Rowe's profile →
Citations per field
00.5×3.5×
Keegan Rowe · 1×
Citations per year

Countries citing papers authored by Christopher Day

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Day

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 2013258
2 2012244
3 202117
4 202316
5 20234
6 20112
7 20241

About Christopher Day

Christopher Day is a scholar working on Surgery, Genetics, Cancer Research, Pulmonary and Respiratory Medicine and Obstetrics and Gynecology, having authored 7 papers that have together received 542 indexed citations. Recurring topics across this work include Total Knee Arthroplasty Outcomes (3 papers), MicroRNA in disease regulation (2 papers), Mesenchymal stem cell research (2 papers), Orthopaedic implants and arthroplasty (2 papers), Orthopedic Infections and Treatments (2 papers), Simulation-Based Education in Healthcare (1 paper), Surgical Simulation and Training (1 paper) and Anatomy and Medical Technology (1 paper). The work is most often cited by research in Hematology (239 citations), Immunology (177 citations), Aging (11 citations), Genetics (54 citations) and Cancer Research (74 citations). Christopher Day has collaborated with scholars based in Canada, Australia and Austria. Frequent co-authors include Connie J. Eaves, David G. Kent, Stefan Wöhrer, Claudia Benz, Michael R. Copley, Keegan Rowe, Adrián Cortés, Nima Aghaeepour, Elaine Ma and Ryan R. Brinkman. Their work appears in journals such as Blood, Journal of Clinical Medicine, Virtual Reality, The Journal of Arthroplasty and Cell stem cell.

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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