Robert Veith

1.2k citations
14 papers · 974 · h-index 11

Impact in

  • Hematology top 2%
    • Acute Myeloid Leukemia Research
    • Iron Metabolism and Disorders
    • Blood groups and transfusion
    • Hematopoietic Stem Cell Transplantation
  • Genetics top 2%
    • Hemoglobinopathies and Related Disorders

Papers in

    • Acute Myeloid Leukemia Research 2
    • Blood groups and transfusion 2
    • Iron Metabolism and Disorders 2
    • Hemoglobinopathies and Related Disorders 4

Robert Veith

14 papers receiving 935 citations

Peers

Robert Veith
Comparison fields: 5 of 78
  • Hematology 472
  • Genetics 413
  • Pediatrics, Perinatology and Child Health 88
  • Molecular Biology 300
  • Internal Medicine 13
Replace Rafael Martínez with:
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Emily M. Pang United States
Konstantinos Gkouvatsos Canada
Kohei Hosokawa Japan
P. R. Galbraith Canada
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Jerome Orlin Israel
Liping Mao China
Marie Eve Moreau Canada
Robert Veith relative to Rafael Martínez Spain Rafael Martínez's profile →
Citations per field
00.5×8.1×
Rafael Martínez · 1×
Citations per year

Countries citing papers authored by Robert Veith

Since Specialization
Citations

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

Fields of papers citing papers by Robert Veith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 1987241
2 1985138
3 1987126
4 1984110
5 199799
6 199189
7 199059
8 199653
9 199320
10 199214
11 200110
12 19999
13 19914
14
High-dose cycles of dexamethasone in idiopathic thrombocytopenic purpura.
20042

About Robert Veith

Robert Veith is a scholar working on Hematology, Genetics, Molecular Biology, Physiology and Plant Science, having authored 14 papers that have together received 974 indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (4 papers), Biofuel production and bioconversion (3 papers), Erythrocyte Function and Pathophysiology (3 papers), Acute Myeloid Leukemia Research (2 papers), Microbial Metabolites in Food Biotechnology (2 papers), Plant nutrient uptake and metabolism (2 papers), Blood groups and transfusion (2 papers) and Iron Metabolism and Disorders (2 papers). The work is most often cited by research in Hematology (472 citations), Genetics (413 citations), Pediatrics, Perinatology and Child Health (88 citations), Molecular Biology (300 citations) and Internal Medicine (13 citations). Robert Veith has collaborated with scholars based in United States, Germany and Egypt. Frequent co-authors include Thalia Papayannopoulou, George Stamatoyannopoulos, Ewald Komor, Renzo Galanello, Jane E. Dancer, Mark Stitt, Irwin D. Bernstein, Wendy H. Raskind, Vesna Najfeld and Philip J. Fialkow. Their work appears in journals such as Journal of Plant Physiology, New England Journal of Medicine, Journal of Virology, Planta and Blood.

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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