J. D. Hoyer

824 citations
20 papers · 521 indexed · h-index 12

Impact in

  • Genetics top 5%
    • Chronic Lymphocytic Leukemia Research
    • Hemoglobinopathies and Related Disorders
  • Hematology top 5%
    • Acute Myeloid Leukemia Research
    • Iron Metabolism and Disorders

Papers in

    • Hemoglobinopathies and Related Disorders 7
    • Chronic Lymphocytic Leukemia Research 4
    • Acute Myeloid Leukemia Research 3
    • Iron Metabolism and Disorders 3

J. D. Hoyer

20 papers receiving 505 citations

Peers

J. D. Hoyer
Comparison fields: 5 of 57
  • Genetics 331
  • Hematology 209
  • Pathology and Forensic Medicine 137
  • Physiology 133
  • Immunology 84
Replace Steve Abella with:
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Citations per field
00.5×3.4×
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Citations per year

Countries citing papers authored by J. D. Hoyer

Since Specialization
Citations

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

Fields of papers citing papers by J. D. Hoyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. D. Hoyer. 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 J. D. Hoyer. The network helps show where J. D. Hoyer may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2015104
2 201240
3 201058
4 20091
5 20094
6 20097
7 20082
8 200546
9 200421
10 199913
11 19993
12 199943
13
Hemoglobin Old Dominion/Burton-upon-Trent, beta 143 (H21) His-->Tyr, codon 143 CAC-->TAC--a variant with altered oxygen affinity that compromises measurement of glycated hemoglobin in diabetes mellitus: structure, function, and DNA sequence.
199815
14 19989
15 199812
16 199744
17 199720
18 19964
19 199574
20
Differences in absorption of BAY u 3405 along the human gastrointestinal tract.
19921

About J. D. Hoyer

J. D. Hoyer is a scholar working on Genetics, Hematology, Cell Biology, Clinical Biochemistry and Pediatrics, Perinatology and Child Health, having authored 20 papers that have together received 521 indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (7 papers), Hemoglobin structure and function (5 papers), Erythrocyte Function and Pathophysiology (5 papers), Chronic Lymphocytic Leukemia Research (4 papers), Lymphoma Diagnosis and Treatment (3 papers), Neonatal Health and Biochemistry (3 papers), Acute Myeloid Leukemia Research (3 papers) and Iron Metabolism and Disorders (3 papers). The work is most often cited by research in Genetics (331 citations), Hematology (209 citations), Pathology and Forensic Medicine (137 citations), Physiology (133 citations) and Immunology (84 citations). J. D. Hoyer has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include G Dewald, Curtis A. Hanson, Rebecca F. McClure, Jennifer L. Oliveira, Loïc Garçon, Paola Bianchi, M.‐J. King, V. Picard, Achille Iolascon and Alberto Zanella. Their work appears in journals such as British Journal of Haematology, Journal of Clinical Pathology, Leukemia Research, Leukemia and American Journal of Clinical Pathology.

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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