S J Ullrich

3.3k citations
24 papers · 2.8k indexed · h-index 19

Impact in

Papers in

S J Ullrich

24 papers receiving 2.7k citations

Peers

S J Ullrich
Comparison fields: 5 of 99
  • Biotechnology 453
  • Oncology 1.3k
  • Cancer Research 659
  • Molecular Biology 1.8k
  • Hematology 249
Replace Peter A. Steck with:
Peter A. Steck United States
Karsten Brand Germany
Concepción Almoguera Spain
Robert L. Ludwig United States
M.L. Hooper United Kingdom
Christopher J. Donahue United States
Sibylle Mittnacht United Kingdom
Dalia Resnitzky Israel
Carol Midgley United Kingdom
Arrigo De Benedetti United States
S J Ullrich relative to Peter A. Steck United States Peter A. Steck's profile →
Citations per field
00.5×1.5×2.0×
Peter A. Steck · 1×
Citations per year

Countries citing papers authored by S J Ullrich

Since Specialization
Citations

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

Fields of papers citing papers by S J Ullrich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S J Ullrich. 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 S J Ullrich. The network helps show where S J Ullrich may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2009120
2 200622
3
Transgenic mouse models of human gastric and hepatic carcinomas.
199418
4 19942
5 199430
6
The ezrin-like family of tyrosine kinase substrates: receptor-specific pattern of tyrosine phosphorylation and relationship to malignant transformation.
199382
7 19937
8 199381
9 19925
10 1992155
11
p53 mutations, ras mutations, and p53-heat shock 70 protein complexes in human lung carcinoma cell lines.
1991315
12 1990419
13 19896
14 198926
15 1989138
16 198938
17 198931
18
Specific interaction between a subset of the p53 protein family and heat shock proteins hsp72/hsc73 in a human osteosarcoma cell line.
198887
19 1987435
20 19816

About S J Ullrich

S J Ullrich is a scholar working on Biotechnology, Physical and Theoretical Chemistry, Oncology, Molecular Biology and Cancer Research, having authored 24 papers that have together received 2.8k indexed citations. Recurring topics across this work include Heat shock proteins research (9 papers), Cancer Research and Treatments (8 papers), Cancer-related Molecular Pathways (7 papers), thermodynamics and calorimetric analyses (4 papers), Virus-based gene therapy research (3 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Protein Structure and Dynamics (2 papers). The work is most often cited by research in Biotechnology (453 citations), Oncology (1.3k citations), Cancer Research (659 citations), Molecular Biology (1.8k citations) and Hematology (249 citations). S J Ullrich has collaborated with scholars based in United States, France and Denmark. Frequent co-authors include Ettore Appella, W E Mercer, Elizabeth A. Robinson, David Pei‐Cheng Lin, Giovanni Cassani, Angelo Corti, Maria Patrizia Stoppelli, Francesco Blasi, Joseph Romano and L. W. Law. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Environmental Toxicology and Chemistry, Journal of Clinical Oncology and FEBS Letters.

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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