JE Barker

540 citations
33 papers · 468 · h-index 12

Impact in

  • Hematology top 10%
    • Hematopoietic Stem Cell Transplantation
    • Blood groups and transfusion
  • Physiology top 10%
    • Lysosomal Storage Disorders Research
    • Erythrocyte Function and Pathophysiology

Papers in

    • Erythrocyte Function and Pathophysiology 19
    • Hematopoietic Stem Cell Transplantation 9
    • Blood groups and transfusion 7

JE Barker

33 papers receiving 458 citations

Peers

JE Barker
Comparison fields: 5 of 72
  • Hematology 121
  • Physiology 244
  • Genetics 94
  • Physiology 22
  • Cell Biology 65
Replace Daniel K. Borger with:
Daniel K. Borger United States
E Otto United States
Jonathan Rousell United Kingdom
M Reddington United States
Dean C. Pask United Kingdom
Seung‐Ryul Kim South Korea
Susanna Lualdi Italy
Ryan E. Lamont Canada
Marta Albajar Spain
Françoise Fouquet France
JE Barker relative to Daniel K. Borger United States Daniel K. Borger's profile →
Citations per field
00.5×1.5×
Daniel K. Borger · 1×
Citations per year

Countries citing papers authored by JE Barker

Since Specialization
Citations

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

Fields of papers citing papers by JE Barker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside JE Barker, 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 JE Barker Line = papers co-authored together JE Barker links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991159
2 199529
3 199329
4 198429
5 199226
6 198824
7 199317
8 199416
9 199014
10 199113
11 199112
12 198312
13 199411
14 198911
15 198010
16 198510
17 19949
18 19807
19 19837
20 19897

About JE Barker

JE Barker is a scholar working on Physiology, Hematology, Genetics, Molecular Biology and Surgery, having authored 33 papers that have together received 468 indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (19 papers), Hemoglobinopathies and Related Disorders (15 papers), Hematopoietic Stem Cell Transplantation (9 papers), Blood groups and transfusion (7 papers), Pancreatic function and diabetes (4 papers), Pluripotent Stem Cells Research (3 papers), Epigenetics and DNA Methylation (3 papers) and Mesenchymal stem cell research (3 papers). The work is most often cited by research in Hematology (121 citations), Physiology (244 citations), Genetics (94 citations), Physiology (22 citations) and Cell Biology (65 citations). JE Barker has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Babette Gwynn, Beth Levy, WS Sly, L D Shultz, Tom Treasure, Piper Pj, Sarah J. Bacon, Jennifer Greer, AW Nienhuis and James Anderson. Their work appears in journals such as Blood, British Journal of Clinical Pharmacology, Science and UCL Discovery (University College London).

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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