R. B. Kinney
- Oncology top 5%
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging top 5%
- Reproductive Medicine top 2%
- Computational Mechanics top 5%
- Co-authors
- Daniel L. Clarke‐PearsonJohn T. SoperB. J. KernsAndrew BerchuckRegina S. WhitakerAyman H. KamelGeorge J. OltR K Dodge
- Topics
- Fluid Dynamics and Turbulent Flows (13 papers)Fluid Dynamics and Vibration Analysis (11 papers)Nanofluid Flow and Heat Transfer (7 papers)
- Partner nations
- United StatesRussiaGermany
In The Last Decade
R. B. Kinney
40 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Oncology 631
- Molecular Biology 455
- Radiology, Nuclear Medicine and Imaging 386
- Reproductive Medicine 262
- Computational Mechanics 201
Countries citing papers authored by R. B. Kinney
This map shows the geographic impact of R. B. Kinney'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 R. B. Kinney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. B. Kinney more than expected).
Fields of papers citing papers by R. B. Kinney
This network shows the impact of papers produced by R. B. Kinney. 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 R. B. Kinney. The network helps show where R. B. Kinney may publish in the future.
Co-authorship network of co-authors of R. B. Kinney
This figure shows the co-authorship network connecting the top 25 collaborators of R. B. Kinney. A scholar is included among the top collaborators of R. B. Kinney 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 R. B. Kinney. R. B. Kinney is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 20 | |
| 2 | DNA ploidy and proliferation index of soft tissue sarcomas determined by image cytometry of fresh frozen tissue. | 12 |
| 3 | 3 | |
| 4 | 201 | |
| 5 | 23 | |
| 6 | 10 | |
| 7 | Overexpression of HER-2/neu is associated with poor survival in advanced epithelial ovarian cancer.breakdown → | 649 |
| 8 | 24 | |
| 9 | 23 | |
| 10 | Immunohistochemical expression of CA 125 in endometrial adenocarcinoma: correlation of antigen expression with metastatic potential. | 36 |
| 11 | 3 | |
| 12 | 9 | |
| 13 | 5 | |
| 14 | 38 | |
| 15 | 6 | |
| 16 | 15 | |
| 17 | The design of a research water table | 1 |
| 18 | Flow in a porous nozzle with massive wall injection | 0 |
| 19 | 44 | |
| 20 | 10 |
About R. B. Kinney
R. B. Kinney is a scholar working on Computational Mechanics, Immunology and Allergy and Reproductive Medicine, having authored 43 papers that have together received 1.4k indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (13 papers), Fluid Dynamics and Vibration Analysis (11 papers) and Nanofluid Flow and Heat Transfer (7 papers). The work is most often cited by research in Reproductive Medicine (262 citations), Oncology (631 citations) and Radiology, Nuclear Medicine and Imaging (386 citations). R. B. Kinney has collaborated with scholars based in United States, Russia and Germany. Frequent co-authors include Daniel L. Clarke‐Pearson, John T. Soper, B. J. Kerns, Andrew Berchuck, Regina S. Whitaker, Ayman H. Kamel, George J. Olt, R K Dodge, Robert C. Bast and E. M. Sparrow. Their work appears in journals such as Cancer, Journal of Computational Physics and European Heart Journal.
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.