Gloria H. Heppner
- Oncology top 2%
- Molecular Biology top 5%
- Cancer Research top 1%
- Immunology top 5%
- Genetics top 5%
- Co-authors
- Fred R. MillerBonnie E. MillerAmy M. FultonBeverly A. BlazarDaniel L. DexterZuzana FligielScott E. LovelessMalathy P.V. Shekhar
- Topics
- Cancer Cells and Metastasis (28 papers)Cancer Genomics and Diagnostics (22 papers)Immune Cell Function and Interaction (10 papers)
- Cited by
- Cancer ResearchOncologyImmunology
- Journals
- Proceedings of the National Academy of SciencesThe Journal of ImmunologyJNCI Journal of the National Cancer Institute
- Partner nations
- United StatesRussiaCanada
In The Last Decade
Gloria H. Heppner
68 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Oncology 1.6k
- Molecular Biology 1.5k
- Cancer Research 1.2k
- Immunology 824
- Genetics 380
Countries citing papers authored by Gloria H. Heppner
This map shows the geographic impact of Gloria 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 Gloria 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 Gloria H. Heppner more than expected).
Fields of papers citing papers by Gloria H. Heppner
This network shows the impact of papers produced by Gloria 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 Gloria H. Heppner. The network helps show where Gloria H. Heppner may publish in the future.
Co-authorship network of co-authors of Gloria H. Heppner
This figure shows the co-authorship network connecting the top 25 collaborators of Gloria H. Heppner. A scholar is included among the top collaborators of Gloria 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 Gloria H. Heppner. Gloria 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 | 27 | |
| 2 | 58 | |
| 3 | 149 | |
| 4 | 332 | |
| 5 | 10 | |
| 6 | 195 | |
| 7 | 126 | |
| 8 | 6 | |
| 9 | 13 | |
| 10 | 5 | |
| 11 | 1 | |
| 12 | 4 | |
| 13 | 64 | |
| 14 | Characterization of lymphocytic infiltrates in normal, preneoplastic, and neoplastic mouse mammary tissues. | 11 |
| 15 | Role of murine tumor models in cancer treatment research. | 26 |
| 16 | 34 | |
| 17 | Design and implementation of a web service-oriented gateway to facilitate environmental modeling using HPC resources | 106 |
| 18 | In situ lymphoid cells of mouse mammary tumors. IV. Comparison of functional activity of lymphoid cells separated from mammary tumors to that of spleen and lymph node cells of tumor-sensitized mice. | 4 |
| 19 | In situ lymphoid cells of mouse mammary tumors. II. The characterization of lymphoid cells separated from mouse mammary tumors. | 17 |
| 20 | 5 |
About Gloria H. Heppner
Gloria H. Heppner is a scholar working on Oncology, Cancer Research and Immunology, having authored 69 papers that have together received 3.7k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (28 papers), Cancer Genomics and Diagnostics (22 papers) and Immune Cell Function and Interaction (10 papers). The work is most often cited by research in Cancer Research (1.2k citations), Oncology (1.6k citations) and Immunology (824 citations). Gloria H. Heppner has collaborated with scholars based in United States, Russia and Canada. Frequent co-authors include Fred R. Miller, Bonnie E. Miller, Amy M. Fulton, Beverly A. Blazar, Daniel L. Dexter, Zuzana Fligiel, Scott E. Loveless, Malathy P.V. Shekhar, Robert J. Pauley and Sandra R. Wolman. Their work appears in journals such as Proceedings of the National Academy of Sciences, 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.