H. Drew

454 citations
18 papers · 343 · h-index 10

Impact in

Papers in

    • Blood groups and transfusion 4
    • Hematopoietic Stem Cell Transplantation 2
    • Platelet Disorders and Treatments 2

H. Drew

18 papers receiving 327 citations

Peers

H. Drew
Comparison fields: 5 of 67
  • Nephrology 107
  • Biochemistry 55
  • Hematology 70
  • Endocrinology, Diabetes and Metabolism 62
  • Management of Technology and Innovation 16
Replace G Hieronimi with:
G Hieronimi Germany
Nobuhide Mimura Japan
Birgit L. M. G. Gijsbers Netherlands
Chenell Donadee United States
Maria Bożentowicz‐Wikarek Poland
D. McDowall Australia
Konstantinos Markakis Greece
Trejeeve Martyn United States
Abderraouf Mebazaa Tunisia
M.T. Colotti Italy
H. Drew relative to G Hieronimi Germany G Hieronimi's profile →
Citations per field
00.5×10×15.3×
G Hieronimi · 1×
Citations per year

Countries citing papers authored by H. Drew

Since Specialization
Citations

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

Fields of papers citing papers by H. Drew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2000107
2 198966
3
A study of age-dependent changes in thyroid function tests in adults.
197941
4 198831
5 198520
6 198514
7 198113
8 200013
9 198310
10 198110
11 19834
12
Kinetics and biodistribution of In-111 platelets in patients with bone marrow transplants, refractory to platelet transfusions
19844
13 19832
14 19882
15 20212
16 19822
17
In vitro techniques
19861
18
An enzyme-linked immunoabsorbent assay for estimating red cell survival of transfused red cells-validation using CR-51 labeling
19841

About H. Drew

H. Drew is a scholar working on Hematology, Surgery, Physiology, Biochemistry and Molecular Biology, having authored 18 papers that have together received 343 indexed citations. Recurring topics across this work include Blood groups and transfusion (4 papers), Blood transfusion and management (4 papers), Hematopoietic Stem Cell Transplantation (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Thyroid Disorders and Treatments (2 papers), Thyroid Cancer Diagnosis and Treatment (2 papers), Platelet Disorders and Treatments (2 papers) and Bone health and treatments (2 papers). The work is most often cited by research in Nephrology (107 citations), Biochemistry (55 citations), Hematology (70 citations), Endocrinology, Diabetes and Metabolism (62 citations) and Management of Technology and Innovation (16 citations). H. Drew has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Lori J. Sokoll, Robert Udelsman, P. M. Ness, Dénes Páll, Thomas S. Kickler, Warren N. Bell, Wayne Kasecamp, Henry N. Wagner, TS Kickler and Marc Rendell. Their work appears in journals such as Transfusion, Clinical Chemistry, Diabetes Care, The American Journal of the Medical Sciences and Acta Chiropterologica.

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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