Robert M. Hudziak
- Oncology top 2%
- Molecular Biology top 10%
- Radiology, Nuclear Medicine and Imaging top 2%
- Immunology
- Genetics
- Co-authors
- Joseph SchlessingerAxel UllrichGail D. Lewis PhillipsH. Michael ShepardMarcy WingetB M FendlyDwight D. WellerDouglas F. Barofsky
- Topics
- Monoclonal and Polyclonal Antibodies Research (9 papers)HER2/EGFR in Cancer Research (6 papers)Glycosylation and Glycoproteins Research (4 papers)
- Partner nations
- United StatesFrance
In The Last Decade
Robert M. Hudziak
14 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 76
- Oncology 1.0k
- Molecular Biology 1000
- Radiology, Nuclear Medicine and Imaging 884
- Immunology 180
- Genetics 160
Countries citing papers authored by Robert M. Hudziak
This map shows the geographic impact of Robert M. Hudziak'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 Robert M. Hudziak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert M. Hudziak more than expected).
Fields of papers citing papers by Robert M. Hudziak
This network shows the impact of papers produced by Robert M. Hudziak. 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 Robert M. Hudziak. The network helps show where Robert M. Hudziak may publish in the future.
Co-authorship network of co-authors of Robert M. Hudziak
This figure shows the co-authorship network connecting the top 25 collaborators of Robert M. Hudziak. A scholar is included among the top collaborators of Robert M. Hudziak based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Robert M. Hudziak. Robert M. Hudziak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 52 | |
| 2 | 210 | |
| 3 | 42 | |
| 4 | Targeting c-erbB-2 expressing tumors using single-chain Fv monomers and dimers. | 18 |
| 5 | 43 | |
| 6 | 8 | |
| 7 | 1 | |
| 8 | 26 | |
| 9 | Selection for transformation and met protooncogene amplification in NIH 3T3 fibroblasts using tumor necrosis factor alpha. | 15 |
| 10 | p185 HER2 Monoclonal Antibody Has Antiproliferative Effects In Vitro and Sensitizes Human Breast Tumor Cells to Tumor Necrosis Factorbreakdown → | 559 |
| 11 | 121 | |
| 12 | Increased expression of the putative growth factor receptor p185HER2 causes transformation and tumorigenesis of NIH 3T3 cells.breakdown → | 541 |
| 13 | 34 | |
| 14 | 78 |
About Robert M. Hudziak
Robert M. Hudziak is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Neurology, having authored 14 papers that have together received 1.7k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (9 papers), HER2/EGFR in Cancer Research (6 papers) and Glycosylation and Glycoproteins Research (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (884 citations), Oncology (1.0k citations) and Immunology and Allergy (90 citations). Robert M. Hudziak has collaborated with scholars based in United States and France. Frequent co-authors include Joseph Schlessinger, Axel Ullrich, Gail D. Lewis Phillips, H. Michael Shepard, Marcy Winget, Axel Ullrich, B M Fendly, Dwight D. Weller, Douglas F. Barofsky and Shuo Huang. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.