G. H. Heppner
- Oncology top 5%
- Molecular Biology
- Immunology top 5%
- Cancer Research top 5%
- Genetics top 10%
- Co-authors
- Peter A. CalabresiF R MillerFred R. MillerLarry TaitS R WolmanP J DawsonDaniel L. DexterRobert J. Pauley
- Topics
- Immunotherapy and Immune Responses (17 papers)Cancer Immunotherapy and Biomarkers (11 papers)Cancer Cells and Metastasis (11 papers)
- Cited by
- OncologyCancer ResearchImmunology
- Partner nations
- United States
In The Last Decade
G. H. Heppner
46 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 105
- Oncology 845
- Molecular Biology 690
- Immunology 605
- Cancer Research 465
- Genetics 240
Countries citing papers authored by G. H. Heppner
This map shows the geographic impact of G. H. Heppner'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 G. H. Heppner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. H. Heppner more than expected).
Fields of papers citing papers by G. H. Heppner
This network shows the impact of papers produced by G. H. Heppner. 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 G. H. Heppner. The network helps show where G. H. Heppner may publish in the future.
Co-authorship network of co-authors of G. H. Heppner
This figure shows the co-authorship network connecting the top 25 collaborators of G. H. Heppner. A scholar is included among the top collaborators of G. H. Heppner 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 G. H. Heppner. G. H. Heppner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 37 | |
| 2 | MCF10AT: a model for the evolution of cancer from proliferative breast disease. | 245 |
| 3 | 55 | |
| 4 | 4 | |
| 5 | 25 | |
| 6 | Motility and tumoricidal activity of interleukin-2-stimulated lymphocytes. | 14 |
| 7 | 3 | |
| 8 | 1 | |
| 9 | Tumor heterogeneity in metastasis. | 12 |
| 10 | 53 | |
| 11 | Characterization of metastatic heterogeneity among subpopulations of a single mouse mammary tumor: heterogeneity in phenotypic stability. | 219 |
| 12 | 14 | |
| 13 | Influence of serial transplantation on the immunological-clinical correlates of BALB/cfC3H mouse mammary tumors. | 17 |
| 14 | Heterogeneity in drug sensitivity among tumor cell subpopulations of a single mammary tumor. | 231 |
| 15 | 2 | |
| 16 | 9 | |
| 17 | Problems in the clinical use of the microcytotoxicity assay for measuring cell-mediated immunity to tumor cells. | 55 |
| 18 | Selective suppression of humoral and cellular immunity with cytosine arabinoside. | 35 |
| 19 | 29 | |
| 20 | 66 |
About G. H. Heppner
G. H. Heppner is a scholar working on Immunology, Oncology and Cancer Research, having authored 47 papers that have together received 1.8k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (17 papers), Cancer Immunotherapy and Biomarkers (11 papers) and Cancer Cells and Metastasis (11 papers). The work is most often cited by research in Oncology (845 citations), Cancer Research (465 citations) and Immunology (605 citations). G. H. Heppner has collaborated with scholars based in United States. Frequent co-authors include Peter A. Calabresi, F R Miller, Fred R. Miller, Larry Tait, S R Wolman, P J Dawson, Daniel L. Dexter, Robert J. Pauley, Herbert D. Soule and Scott E. Loveless. Their work appears in journals such as Nature, The Journal of Immunology and JNCI Journal of the National Cancer Institute.
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.