Stephen P. Creekmore
- Immunology top 2%
- Oncology top 5%
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging top 10%
- Pathology and Forensic Medicine top 10%
- Co-authors
- Dan L. LongoRichard I. FisherThomas A. WaldmannJason L. YovandichBarry L. GauseCraig W. ReynoldsLarry W. KwakRobin Pennington
- Topics
- Immune Cell Function and Interaction (22 papers)Immunotherapy and Immune Responses (11 papers)CAR-T cell therapy research (9 papers)
- Cited by
- ImmunologyOncologyHematology
- Partner nations
- United StatesIndia
In The Last Decade
Stephen P. Creekmore
45 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 95
- Immunology 1.4k
- Oncology 901
- Molecular Biology 386
- Radiology, Nuclear Medicine and Imaging 225
- Pathology and Forensic Medicine 196
Countries citing papers authored by Stephen P. Creekmore
This map shows the geographic impact of Stephen P. Creekmore'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 Stephen P. Creekmore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen P. Creekmore more than expected).
Fields of papers citing papers by Stephen P. Creekmore
This network shows the impact of papers produced by Stephen P. Creekmore. 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 Stephen P. Creekmore. The network helps show where Stephen P. Creekmore may publish in the future.
Co-authorship network of co-authors of Stephen P. Creekmore
This figure shows the co-authorship network connecting the top 25 collaborators of Stephen P. Creekmore. A scholar is included among the top collaborators of Stephen P. Creekmore 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 Stephen P. Creekmore. Stephen P. Creekmore is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 95 | |
| 2 | 5 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 13 | |
| 6 | 56 | |
| 7 | 16 | |
| 8 | 33 | |
| 9 | 458 | |
| 10 | 17 | |
| 11 | 22 | |
| 12 | 33 | |
| 13 | 34 | |
| 14 | 26 | |
| 15 | 19 | |
| 16 | 34 | |
| 17 | 42 | |
| 18 | 180 | |
| 19 | Appearance and phenotypic characterization of circulating Leu 19+ cells in cancer patients receiving recombinant interleukin 2. | 43 |
| 20 | 36 |
About Stephen P. Creekmore
Stephen P. Creekmore is a scholar working on Immunology, Oncology and Biophysics, having authored 45 papers that have together received 2.0k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (22 papers), Immunotherapy and Immune Responses (11 papers) and CAR-T cell therapy research (9 papers). The work is most often cited by research in Immunology (1.4k citations), Oncology (901 citations) and Hematology (133 citations). Stephen P. Creekmore has collaborated with scholars based in United States and India. Frequent co-authors include Dan L. Longo, Richard I. Fisher, Thomas A. Waldmann, Jason L. Yovandich, Barry L. Gause, Craig W. Reynolds, Larry W. Kwak, Robin Pennington, Maurizio Bendandi and Lars Sternås. Their work appears in journals such as Nature Medicine, Journal of Clinical Oncology and Journal of Geophysical Research Atmospheres.
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.