John F. Langenheim
- Endocrinology, Diabetes and Metabolism top 10%
- Molecular Biology
- Oncology
- Cancer Research
- Reproductive Medicine top 10%
- Co-authors
- Wen Y. ChenStuart J. FrankJing JiangYue ZhangTae Hoon KimBruce A. LesseySteven L. YoungSusan D. Ferguson
- Topics
- Growth Hormone and Insulin-like Growth Factors (9 papers)Cancer, Hypoxia, and Metabolism (5 papers)Metabolism, Diabetes, and Cancer (5 papers)
- Partner nations
- United StatesSingaporeAustralia
In The Last Decade
John F. Langenheim
20 papers receiving 407 citations
Peers
Comparison fields: 5 of 59
- Endocrinology, Diabetes and Metabolism 187
- Molecular Biology 157
- Oncology 97
- Cancer Research 93
- Reproductive Medicine 91
Countries citing papers authored by John F. Langenheim
This map shows the geographic impact of John F. Langenheim'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 John F. Langenheim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John F. Langenheim more than expected).
Fields of papers citing papers by John F. Langenheim
This network shows the impact of papers produced by John F. Langenheim. 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 John F. Langenheim. The network helps show where John F. Langenheim may publish in the future.
Co-authorship network of co-authors of John F. Langenheim
This figure shows the co-authorship network connecting the top 25 collaborators of John F. Langenheim. A scholar is included among the top collaborators of John F. Langenheim 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 John F. Langenheim. John F. Langenheim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 8 | |
| 3 | 9 | |
| 4 | 5 | |
| 5 | 12 | |
| 6 | 18 | |
| 7 | 95 | |
| 8 | 1 | |
| 9 | 10 | |
| 10 | 9 | |
| 11 | 39 | |
| 12 | 1 | |
| 13 | 48 | |
| 14 | 9 | |
| 15 | 18 | |
| 16 | 35 | |
| 17 | Co-expression of human prolactin drastically reduces breast cancer incidence in HER2/neu transgenic mice | 1 |
| 18 | 14 | |
| 19 | 25 | |
| 20 | 16 |
About John F. Langenheim
John F. Langenheim is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research and Oncology, having authored 21 papers that have together received 414 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (9 papers), Cancer, Hypoxia, and Metabolism (5 papers) and Metabolism, Diabetes, and Cancer (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (187 citations), Reproductive Medicine (91 citations) and Obstetrics and Gynecology (67 citations). John F. Langenheim has collaborated with scholars based in United States, Singapore and Australia. Frequent co-authors include Wen Y. Chen, Stuart J. Frank, Jing Jiang, Yue Zhang, Tae Hoon Kim, Bruce A. Lessey, Steven L. Young, Susan D. Ferguson, Jung‐Yoon Yoo and Seth Tomblyn. Their work appears in journals such as Blood, The Journal of Clinical Endocrinology & Metabolism and Cancer Research.
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.