Gerald Schmid

1.1k citations
27 papers · 922 · h-index 16

Impact in

Papers in

    • Cell death mechanisms and regulation 5
    • DNA Repair Mechanisms 4
    • Ubiquitin and proteasome pathways 3
    • Retinoids in leukemia and cellular processes 2
    • Cancer-related Molecular Pathways 15
    • PARP inhibition in cancer therapy 6

Gerald Schmid

27 papers receiving 900 citations

Peers

Gerald Schmid
Comparison fields: 5 of 82
  • Oncology 359
  • Transplantation 33
  • Cancer Research 126
  • Molecular Biology 546
  • Orthopedics and Sports Medicine 45
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Karl X. Knaup Germany
Desi Pan China
Parmeet K. Manchanda India
Zachary S. Varsos United States
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Citations per year

Countries citing papers authored by Gerald Schmid

Since Specialization
Citations

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

Fields of papers citing papers by Gerald Schmid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Nbn heterozygosity renders mice susceptible to tumor formation and ionizing radiation-induced tumorigenesis.
2003118
2 2005112
3 199873
4 199872
5 199670
6 200761
7 200054
8 200746
9 201245
10 200539
11 200531
12 200330
13 200328
14 201427
15 199924
16 200717
17 201715
18 200613
19 20078
20 20078

About Gerald Schmid

Gerald Schmid is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Cell Biology and Biotechnology, having authored 27 papers that have together received 922 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (15 papers), PARP inhibition in cancer therapy (6 papers), Cell death mechanisms and regulation (5 papers), DNA Repair Mechanisms (4 papers), Ubiquitin and proteasome pathways (3 papers), Microtubule and mitosis dynamics (3 papers), Cancer Research and Treatments (3 papers) and Retinoids in leukemia and cellular processes (2 papers). The work is most often cited by research in Oncology (359 citations), Transplantation (33 citations), Cancer Research (126 citations), Molecular Biology (546 citations) and Orthopedics and Sports Medicine (45 citations). Gerald Schmid has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Józefa Węsierska‐Gądek, Christiane J. Bruns, Karl‐Walter Jauch, Markus Guba, Christa Cerni, Christian Graeb, A. Papyan, Ivan Ischenko, Jacek Wojciechowski and Maksim Yezhelyev. Their work appears in journals such as Journal of Cellular Biochemistry, Biochemical and Biophysical Research Communications, Expert Opinion on Investigational Drugs, Molecular Neurobiology 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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