G. Steinheider

826 citations
36 papers · 721 · h-index 13

Impact in

  • Virology top 10%
    • HIV Research and Treatment
  • Genetics top 10%
    • Virus-based gene therapy research
    • Hemoglobinopathies and Related Disorders

Papers in

G. Steinheider

34 papers receiving 624 citations

Peers

G. Steinheider
Comparison fields: 5 of 84
  • Virology 76
  • Genetics 95
  • Hematology 76
  • Physiology 167
  • Genetics 157
Replace N. Kluge with:
N. Kluge Germany
Esther F. Hays United States
Eng‐Chun Mar United States
Jens‐Uwe Vogel Germany
Concetta Pietropaolo Italy
Masanori Obata Japan
Toshihiko Asano Japan
Chaya Moroz Israel
S Farber United States
Mitsuo Baba Japan
G. Steinheider relative to N. Kluge Germany N. Kluge's profile →
Citations per field
00.5×1.5×
N. Kluge · 1×
Citations per year

Countries citing papers authored by G. Steinheider

Since Specialization
Citations

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

Fields of papers citing papers by G. Steinheider

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1972206
2 197494
3 197561
4 197443
5 197634
6 199828
7 197528
8 198527
9 197927
10 197426
11 198624
12 198517
13
ProMACE-cytaBOM versus MACOP-B in intermediate and high grade NHL. Preliminary results of a prospective randomized trial.
199117
14 199910
15 19869
16 19759
17
Induction of differentiation in Friend-erythroleukemia cells by aclacinomycin A: early transient decrease in c-myc and c-myb mRNA levels.
19928
18 19757
19 19956
20 19786

About G. Steinheider

G. Steinheider is a scholar working on Molecular Biology, Physiology, Genetics, Genetics and Oncology, having authored 36 papers that have together received 721 indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (10 papers), Cancer therapeutics and mechanisms (7 papers), Virus-based gene therapy research (6 papers), Hemoglobinopathies and Related Disorders (5 papers), Hemoglobin structure and function (4 papers), Cancer Treatment and Pharmacology (3 papers), Animal Virus Infections Studies (3 papers) and Chronic Lymphocytic Leukemia Research (3 papers). The work is most often cited by research in Virology (76 citations), Genetics (95 citations), Hematology (76 citations), Physiology (167 citations) and Genetics (157 citations). G. Steinheider has collaborated with scholars based in Germany, Australia and Switzerland. Frequent co-authors include Wolfram Ostertag, N. Kluge, Shyam K. Dube, H Melderis, Hans Marquardt, Gerhard Gaedicke, R. Neth, Johannes Westendorf, Ian B. Pragnell and T. Cole. Their work appears in journals such as Cell Biology and Toxicology, Leukemia Research, Nature, Proceedings of the National Academy of Sciences and Cellular and Molecular Life Sciences.

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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