Grace Collord

3.4k citations
9 papers · 217 · h-index 8

Impact in

    • Myeloproliferative Neoplasms: Diagnosis and Treatment
    • Chronic Lymphocytic Leukemia Research
    • Acute Myeloid Leukemia Research

Papers in

    • CRISPR and Genetic Engineering 2
    • Single-cell and spatial transcriptomics 1
    • Protein Degradation and Inhibitors 1
    • Acute Myeloid Leukemia Research 4

Grace Collord

9 papers receiving 217 citations

Peers

Grace Collord
Comparison fields: 5 of 40
  • Genetics 67
  • Hematology 66
  • Endocrinology, Diabetes and Metabolism 51
  • Endocrine and Autonomic Systems 16
  • Cancer Research 26
Replace Corrine E. Fiveash with:
Corrine E. Fiveash Australia
Massimo Magnanti Italy
Emiri Miura‐Yura Japan
Daniela Piranda Italy
Joanna Lim Malaysia
Thomas A. Blair United States
Esther Alonso Spain
Kristin G. Ardlie United States
Arthur Flohr Svendsen Netherlands
Andrea Schüler Germany
Grace Collord relative to Corrine E. Fiveash Australia Corrine E. Fiveash's profile →
Citations per field
00.5×3.9×
Corrine E. Fiveash · 1×
Citations per year

Countries citing papers authored by Grace Collord

Since Specialization
Citations

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

Fields of papers citing papers by Grace Collord

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 200771
2 202239
3 201738
4 201826
5 202117
6 20259
7 20219
8 20237
9 20141

About Grace Collord

Grace Collord is a scholar working on Molecular Biology, Hematology, Genetics, Emergency Medicine and Cancer Research, having authored 9 papers that have together received 217 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (4 papers), Cancer Genomics and Diagnostics (2 papers), Hematological disorders and diagnostics (2 papers), CRISPR and Genetic Engineering (2 papers), Single-cell and spatial transcriptomics (1 paper), Protein Degradation and Inhibitors (1 paper), Pancreatic function and diabetes (1 paper) and Diet, Metabolism, and Disease (1 paper). The work is most often cited by research in Genetics (67 citations), Hematology (66 citations), Endocrinology, Diabetes and Metabolism (51 citations), Endocrine and Autonomic Systems (16 citations) and Cancer Research (26 citations). Grace Collord has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Patrick S. Ward, Abdella M. Habib, Fiona M. Gribble, Kai Yuen Wong, Frank Reimann, Anna K. Simpson, George S. Vassiliou, Tim Coorens, Sam Behjati and Hannes Ponstingl. Their work appears in journals such as Blood Advances, Nature Medicine, Diabetologia, Archives of Disease in Childhood and Leukemia.

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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