David W. Montgomery
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 5%
- Infectious Diseases top 5%
- Immunology top 10%
- Oncology
- Co-authors
- Charles F. ZukoskiRobert J. WoodsOliver C. GrantArthur R. BuckleyKeigo ItoDiane Haddock RussellCharles W. PutnamCarrie J. Merkle
- Topics
- Acute Lymphoblastic Leukemia research (9 papers)Childhood Cancer Survivors' Quality of Life (7 papers)Monoclonal and Polyclonal Antibodies Research (7 papers)
- Partner nations
- United StatesJapanCanada
In The Last Decade
David W. Montgomery
54 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 112
- Molecular Biology 632
- Endocrinology, Diabetes and Metabolism 341
- Infectious Diseases 336
- Immunology 300
- Oncology 220
Countries citing papers authored by David W. Montgomery
This map shows the geographic impact of David W. Montgomery'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 David W. Montgomery with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David W. Montgomery more than expected).
Fields of papers citing papers by David W. Montgomery
This network shows the impact of papers produced by David W. Montgomery. 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 David W. Montgomery. The network helps show where David W. Montgomery may publish in the future.
Co-authorship network of co-authors of David W. Montgomery
This figure shows the co-authorship network connecting the top 25 collaborators of David W. Montgomery. A scholar is included among the top collaborators of David W. Montgomery 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 David W. Montgomery. David W. Montgomery is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 231 | |
| 3 | 8 | |
| 4 | 7 | |
| 5 | 7 | |
| 6 | 11 | |
| 7 | 10 | |
| 8 | 13 | |
| 9 | 4 | |
| 10 | 22 | |
| 11 | 5 | |
| 12 | 35 | |
| 13 | 30 | |
| 14 | 19 | |
| 15 | 67 | |
| 16 | 19 | |
| 17 | 65 | |
| 18 | 42 | |
| 19 | 30 | |
| 20 | Didemnin B alters the specific binding of prolactin to human lymphocytes and decreases the circulating level of prolactin in mice | 2 |
About David W. Montgomery
David W. Montgomery is a scholar working on Aging, Genetics and Immunology, having authored 54 papers that have together received 1.7k indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (9 papers), Childhood Cancer Survivors' Quality of Life (7 papers) and Monoclonal and Polyclonal Antibodies Research (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (341 citations), Infectious Diseases (336 citations) and Immunology (300 citations). David W. Montgomery has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Charles F. Zukoski, Robert J. Woods, Oliver C. Grant, Arthur R. Buckley, Keigo Ito, Diane Haddock Russell, Charles W. Putnam, Carrie J. Merkle, Gul N. Shah and Jonathan S. Dordick. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and Scientific Reports.
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.