Grace Collord

3.5k citations
9 papers · 240 · h-index 8

Impact in

    • Myeloproliferative Neoplasms: Diagnosis and Treatment
    • Chronic Lymphocytic Leukemia Research
  • Hematology top 10%
    • Acute Myeloid Leukemia Research

Papers in

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

Grace Collord

9 papers receiving 240 citations

Peers

Grace Collord
Comparison fields: 5 of 39
  • Genetics 65
  • Hematology 67
  • Endocrinology, Diabetes and Metabolism 44
  • Endocrine and Autonomic Systems 16
  • Cancer Research 21
Replace Emiri Miura‐Yura with:
Emiri Miura‐Yura Japan
Massimo Magnanti Italy
Corrine E. Fiveash Australia
Daniela Piranda Italy
Esther Alonso Spain
Andrea Schüler Germany
Qiao‐Cheng Qiu China
Daphne C. Thijssen‐Timmer Netherlands
Tomasz P. Lehmann Poland
Shiangtung W. Jung United States
Grace Collord relative to Emiri Miura‐Yura Japan Emiri Miura‐Yura's profile →
Citations per field
00.5×
Emiri Miura‐Yura · 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 200774
2 202244
3 201740
4 201827
5 202119
6 202515
7 202311
8 20219
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 240 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (4 papers), Cancer Genomics and Diagnostics (2 papers), CRISPR and Genetic Engineering (2 papers), Hematological disorders and diagnostics (2 papers), Acute Lymphoblastic Leukemia research (1 paper), Protein Degradation and Inhibitors (1 paper), Multiple Myeloma Research and Treatments (1 paper) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Genetics (65 citations), Hematology (67 citations), Endocrinology, Diabetes and Metabolism (44 citations), Endocrine and Autonomic Systems (16 citations) and Cancer Research (21 citations). Grace Collord has collaborated with scholars based in United Kingdom, United States and Uganda. Frequent co-authors include Abdella M. Habib, Kai Yuen Wong, Frank Reimann, Patrick S. Ward, Fiona M. Gribble, Anna K. Simpson, George S. Vassiliou, Tim Coorens, Sam Behjati and Mike Scott. Their work appears in journals such as Blood Advances, Nature Medicine, Blood, Diabetologia and Nature.

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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