Gerald Schmid

26 papers receiving 901 citations

Peers

Gerald Schmid
Comparison fields: 5 of 66
  • Oncology 234
  • Transplantation 31
  • Aging 10
  • Molecular Biology 382
  • Geriatrics and Gerontology 15
Replace Silvia Giunco with:
Silvia Giunco Italy
Sofía Ferreira-González United Kingdom
Juanli Duan China
Mohd Hafeez Faridi United States
Parmeet Kaur Manchanda India
Serge Lemay Canada
Ivan G. Gomez United States
Ryan M. Naylor United States
Adam Pickard United Kingdom
Kyeong‐Sook Lee South Korea
Gerald Schmid relative to Silvia Giunco Italy Silvia Giunco's profile →
Citations per field
00.5×2×3×4.4×
Silvia Giunco · 1×
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 26 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 199872
4 199871
5 199669
6 200763
7 200154
8 200746
9 201244
10 200540
11 200531
12 200330
13 200328
14 201426
15 199923
16 200717
17 201716
18 200613
19 20078
20 20078

About Gerald Schmid

Gerald Schmid is a scholar working on Oncology, Pathology and Forensic Medicine, Molecular Biology, Orthopedics and Sports Medicine and Aging, having authored 26 papers that have together received 919 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (11 papers), Genetic factors in colorectal cancer (4 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Angiogenesis and VEGF in Cancer (3 papers), Bone health and osteoporosis research (2 papers), DNA Repair Mechanisms (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper) and Bone Metabolism and Diseases (1 paper). The work is most often cited by research in Oncology (234 citations), Transplantation (31 citations), Aging (10 citations), Molecular Biology (382 citations) and Geriatrics and Gerontology (15 citations). Gerald Schmid has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Józefa Węsierska‐Gądek, Christiane J. Bruns, Markus Otto Guba, Karl‐Walter Jauch, Christa Cerni, Armine Papyan, Ivan Ischenko, Christian Graeb, Jacek Wojciechowski and Maksim Yezhelyev. Their work appears in journals such as Journal of Cellular Biochemistry, Biochemical and Biophysical Research Communications, Blood, Angiogenesis and Digestive Diseases.

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.

Explore authors with similar magnitude of impact