Matthew H. Herynk
- Molecular Biology top 10%
- Oncology top 5%
- Genetics top 5%
- Pulmonary and Respiratory Medicine top 5%
- Cancer Research top 5%
- Co-authors
- Suzanne A.W. FuquaGary E. GallickAmanda BeyerYukun CuiRobert RadinskySebastiano AndòJennifer SeleverJohn V. Heymach
- Topics
- Estrogen and related hormone effects (8 papers)Liver physiology and pathology (5 papers)Cytokine Signaling Pathways and Interactions (5 papers)
- Cited by
- Cancer ResearchOncologyGenetics
- Partner nations
- United StatesItalySpain
In The Last Decade
Matthew H. Herynk
23 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 90
- Molecular Biology 799
- Oncology 613
- Genetics 525
- Pulmonary and Respiratory Medicine 407
- Cancer Research 379
Countries citing papers authored by Matthew H. Herynk
This map shows the geographic impact of Matthew H. Herynk'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 Matthew H. Herynk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew H. Herynk more than expected).
Fields of papers citing papers by Matthew H. Herynk
This network shows the impact of papers produced by Matthew H. Herynk. 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 Matthew H. Herynk. The network helps show where Matthew H. Herynk may publish in the future.
Co-authorship network of co-authors of Matthew H. Herynk
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew H. Herynk. A scholar is included among the top collaborators of Matthew H. Herynk 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 Matthew H. Herynk. Matthew H. Herynk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 12 | |
| 3 | 45 | |
| 4 | 123 | |
| 5 | 106 | |
| 6 | 79 | |
| 7 | 134 | |
| 8 | 4 | |
| 9 | 13 | |
| 10 | 168 | |
| 11 | 0 | |
| 12 | 2 | |
| 13 | Activation of Src by c-Met overexpression mediates metastatic properties of colorectal carcinoma cells. | 23 |
| 14 | 43 | |
| 15 | 49 | |
| 16 | 58 | |
| 17 | 309 | |
| 18 | 50 | |
| 19 | Reduced c-Met expression by an adenovirus expressing a c-Met ribozyme inhibits tumorigenic growth and lymph node metastases of PC3-LN4 prostate tumor cells in an orthotopic nude mouse model. | 70 |
| 20 | Activation of c -Met contributes to growth and metastasis of human colorectal carcinoma | 1 |
About Matthew H. Herynk
Matthew H. Herynk is a scholar working on Hepatology, Oncology and Genetics, having authored 24 papers that have together received 1.5k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (8 papers), Liver physiology and pathology (5 papers) and Cytokine Signaling Pathways and Interactions (5 papers). The work is most often cited by research in Cancer Research (379 citations), Oncology (613 citations) and Genetics (525 citations). Matthew H. Herynk has collaborated with scholars based in United States, Italy and Spain. Frequent co-authors include Suzanne A.W. Fuqua, Gary E. Gallick, Amanda Beyer, Yukun Cui, Robert Radinsky, Sebastiano Andò, Jennifer Selever, John V. Heymach, Irma Parra and Susan G. Hilsenbeck. Their work appears in journals such as Journal of Clinical Investigation, Journal of Clinical Oncology and Endocrine Reviews.
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.