Hans‐Georg Eckert

951 citations
14 papers · 785 · 1 hit paper · h-index 9

Impact in

  • Genetics top 5%
    • Virus-based gene therapy research
    • Animal Genetics and Reproduction
  • Oncology top 10%
    • CAR-T cell therapy research

Papers in

    • Virus-based gene therapy research 8
    • RNA Interference and Gene Delivery 3
    • CRISPR and Genetic Engineering 3
    • Viral Infectious Diseases and Gene Expression in Insects 2

Hans‐Georg Eckert

13 papers receiving 741 citations

Hans‐Georg Eckert's Hit Papers

Murine Leukemia Induced by Retroviral Gene Marking 2002 · 533 citations
5330+8+16Years since publication100200300400500

Peers

Hans‐Georg Eckert
Comparison fields: 5 of 82
  • Genetics 515
  • Oncology 206
  • Molecular Biology 523
  • Virology 25
  • Hematology 40
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Citations per field
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Citations per year

Countries citing papers authored by Hans‐Georg Eckert

Since Specialization
Citations

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

Fields of papers citing papers by Hans‐Georg Eckert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hans‐Georg Eckert. 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 Hans‐Georg Eckert. The network helps show where Hans‐Georg Eckert may publish in the future.

Co-authors

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

All Works

14 of 14 papers shown
#Work
1
Murine Leukemia Induced by Retroviral Gene Marking
Hit paper breakdown →
2002533
2 199744
3 200243
4 200240
5 198735
6 200224
7 198724
8 200114
9 200211
10 19987
11 19974
12 19963
13
Handbuch des gewerblichen Miet-, Pacht- und Leasingrechts
19842
14
Handbuch des gewerblichen Miet- und Pachtrechts
19841

About Hans‐Georg Eckert

Hans‐Georg Eckert is a scholar working on Genetics, Molecular Biology, Oncology, Strategy and Management and Economics and Econometrics, having authored 14 papers that have together received 785 indexed citations. Recurring topics across this work include Virus-based gene therapy research (8 papers), RNA Interference and Gene Delivery (3 papers), CRISPR and Genetic Engineering (3 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Diverse Legal and Medical Studies (2 papers), Pharmaceutical Economics and Policy (2 papers), CAR-T cell therapy research (2 papers) and Acute Myeloid Leukemia Research (1 paper). The work is most often cited by research in Genetics (515 citations), Oncology (206 citations), Molecular Biology (523 citations), Virology (25 citations) and Hematology (40 citations). Hans‐Georg Eckert has collaborated with scholars based in Germany, South Africa and United States. Frequent co-authors include Klaus Kühlcke, Wolfram Ostertag, Boris Fehse, Bernd Schiedlmeier, Christopher Baum, Manfred Schmidt, M. Förster, Oliver Frank, Christof von Kalle and Anke Wahlers. Their work appears in journals such as The American Journal of Cardiology, Human Gene Therapy, Molecular Therapy, The Journal of Gene Medicine and International Journal of Cancer.

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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