H Riedel

1.7k citations
44 papers · 1.4k · h-index 20

Impact in

  • Hematology top 2%
    • Iron Metabolism and Disorders
  • Genetics top 2%
    • Hemoglobinopathies and Related Disorders
    • Bacterial Genetics and Biotechnology

Papers in

H Riedel

42 papers receiving 1.4k citations

Peers

H Riedel
Comparison fields: 5 of 108
  • Hematology 502
  • Genetics 383
  • Nutrition and Dietetics 467
  • Hepatology 105
  • Clinical Biochemistry 55
Replace Judit Kiss with:
Judit Kiss Hungary
Michiyasu Awai Japan
Theodore C. Iancu Israel
Jir̆ı́ Petrák Czechia
Richard Edwards United Kingdom
Osamu Midorikawa Japan
Richard Sparla Germany
AM Ferraris Italy
Hiromichi Hemmi Japan
E. Christine Pietsch United States
H Riedel relative to Judit Kiss Hungary Judit Kiss's profile →
Citations per field
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Citations per year

Countries citing papers authored by H Riedel

Since Specialization
Citations

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

Fields of papers citing papers by H Riedel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997205
2 2003196
3 1997141
4 1998117
5 199977
6 199572
7 200356
8 200744
9 200042
10 200337
11 199833
12 198532
13 198232
14 199631
15 201230
16 200527
17 200827
18 199325
19 198922
20 199319

About H Riedel

H Riedel is a scholar working on Molecular Biology, Hematology, Nutrition and Dietetics, Genetics and Clinical Biochemistry, having authored 44 papers that have together received 1.4k indexed citations. Recurring topics across this work include Iron Metabolism and Disorders (12 papers), Hemoglobinopathies and Related Disorders (10 papers), Trace Elements in Health (10 papers), Porphyrin Metabolism and Disorders (9 papers), Metabolism and Genetic Disorders (7 papers), Bacteriophages and microbial interactions (5 papers), Bacterial Genetics and Biotechnology (5 papers) and Neonatal Health and Biochemistry (5 papers). The work is most often cited by research in Hematology (502 citations), Genetics (383 citations), Nutrition and Dietetics (467 citations), Hepatology (105 citations) and Clinical Biochemistry (55 citations). H Riedel has collaborated with scholars based in Germany, United States and Canada. Frequent co-authors include Wolfgang Stremmel, Sebastian Mueller, Sven G. Gehrke, B.A. Fitscher, Thomas Herrmann, Karin Bents, Hasan Kulaksiz, Claudia Veltkamp, Peter Sauer and Petra Klöters-Plachky. Their work appears in journals such as Blood, Journal of Hepatology, Nucleic Acids Research, Journal of Molecular Medicine and Journal of Biological Chemistry.

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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