Walter P. Carney

4.5k total citations · 1 hit paper
96 papers, 3.6k citations indexed

About

Walter P. Carney is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Walter P. Carney has authored 96 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Oncology, 34 papers in Radiology, Nuclear Medicine and Imaging and 27 papers in Molecular Biology. Recurrent topics in Walter P. Carney's work include HER2/EGFR in Cancer Research (34 papers), Monoclonal and Polyclonal Antibodies Research (33 papers) and Peptidase Inhibition and Analysis (15 papers). Walter P. Carney is often cited by papers focused on HER2/EGFR in Cancer Research (34 papers), Monoclonal and Polyclonal Antibodies Research (33 papers) and Peptidase Inhibition and Analysis (15 papers). Walter P. Carney collaborates with scholars based in United States, Germany and France. Walter P. Carney's co-authors include M. S. Hirsch, Suhail M. Ali, Allan Lipton, Kim Leitzel, R. A. Hoffman, W. Hansen, Michelle S. Hirsch, R H Rubin, Paul W. Brandt‐Rauf and S J McKenzie and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Walter P. Carney

95 papers receiving 3.3k citations

Hit Papers

Analysis of T lymphocyte subsets in cytomegalovirus monon... 1981 2026 1996 2011 1981 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Walter P. Carney United States 32 1.9k 1000 940 762 657 96 3.6k
S Poppema Netherlands 36 1.7k 0.9× 629 0.6× 1.0k 1.1× 522 0.7× 1.7k 2.6× 93 4.6k
Jonathan M. Niloff United States 24 860 0.4× 631 0.6× 1.2k 1.2× 444 0.6× 930 1.4× 47 4.8k
Caroline Chapman United Kingdom 35 913 0.5× 1.2k 1.2× 1.4k 1.5× 455 0.6× 1.2k 1.8× 99 3.9k
D L Morton United States 32 2.5k 1.3× 571 0.6× 1.6k 1.7× 518 0.7× 1.9k 2.9× 111 4.6k
S. von Kleist Germany 33 1.3k 0.7× 1.2k 1.2× 1.3k 1.4× 249 0.3× 993 1.5× 113 3.5k
James L. Murray United States 41 2.6k 1.3× 1.8k 1.8× 2.0k 2.1× 358 0.5× 1.9k 2.9× 176 5.8k
P. Schlag Germany 41 1.8k 0.9× 796 0.8× 1.8k 1.9× 432 0.6× 662 1.0× 185 5.8k
Dan Knowles United States 38 3.1k 1.6× 372 0.4× 842 0.9× 1.2k 1.5× 1.7k 2.6× 64 6.0k
P Burtin France 32 943 0.5× 992 1.0× 1.5k 1.6× 267 0.4× 720 1.1× 169 3.4k
Kashi Javaherian United States 26 510 0.3× 671 0.7× 2.0k 2.1× 542 0.7× 1.2k 1.8× 40 4.4k

Countries citing papers authored by Walter P. Carney

Since Specialization
Citations

This map shows the geographic impact of Walter P. Carney'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 Walter P. Carney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Walter P. Carney more than expected).

Fields of papers citing papers by Walter P. Carney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Walter P. Carney. 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 Walter P. Carney. The network helps show where Walter P. Carney may publish in the future.

Co-authorship network of co-authors of Walter P. Carney

This figure shows the co-authorship network connecting the top 25 collaborators of Walter P. Carney. A scholar is included among the top collaborators of Walter P. Carney 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 Walter P. Carney. Walter P. Carney is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Carney, Walter P., et al.. (2023). Utility of monocyte HLA-DR and rationale for therapeutic GM-CSF in sepsis immunoparalysis. Frontiers in Immunology. 14. 1130214–1130214. 30 indexed citations
2.
Huang, Jessica, J. W. Chapman, Kim Leitzel, et al.. (2017). Impact of serum HER2, TIMP-1, and CAIX on outcome for HER2+ metastatic breast cancer patients: CCTG MA.31 (lapatinib vs. trastuzumab). Breast Cancer Research and Treatment. 164(3). 571–580. 11 indexed citations
5.
Carney, Walter P.. (2009). Hidden HER-2/neu-positive breast cancer: how to maximize detection.. PubMed. 12(4). 238–42. 5 indexed citations
6.
Hamer, Peter, Sheryl Brown‐Shimer, & Walter P. Carney. (2009). Abstract #244: A Standardized CAIX immunohistochemistry test for use in formalin-fixed, paraffin-embedded (FF-PE) sections. Cancer Research. 69. 244–244. 1 indexed citations
7.
Carney, Walter P., Kim Leitzel, Suhail M. Ali, Rainer Neumann, & Allan Lipton. (2007). HER-2 therapy. HER-2/neu diagnostics in breast cancer. Breast Cancer Research. 9(3). 207–207. 40 indexed citations
8.
Lipton, Allan, Suhail M. Ali, Kim Leitzel, et al.. (2007). Elevated plasma tissue inhibitor of metalloproteinase‐1 level predicts decreased response and survival in metastatic breast cancer. Cancer. 109(10). 1933–1939. 40 indexed citations
9.
Pallud, C., J M Guinebretière, K. Hacène, et al.. (2005). Tissue expression and serum levels of the oncoprotein HER-2/neu in 157 primary breast tumours.. PubMed. 25(2B). 1433–40. 20 indexed citations
10.
Hacène, K., et al.. (2004). Longitudinal changes in serum HER-2/neu oncoprotein levels in trastuzumab-treated metastatic breast cancer patients.. PubMed. 24(2C). 1083–9. 21 indexed citations
11.
Lipton, A., Suhail M. Ali, Kim Leitzel, et al.. (2003). Serum HER-2/neu and Response to the Aromatase Inhibitor Letrozole Versus Tamoxifen. Journal of Clinical Oncology. 21(10). 1967–1972. 102 indexed citations
12.
Breuer, Brenda, Steven J. Smith, Ann D. Thor, et al.. (1998). ErbB-2 protein in sera and tumors of breast cancer patients. Breast Cancer Research and Treatment. 49(3). 261–270. 26 indexed citations
13.
14.
Brandt‐Rauf, Paul W., Matthew R. Pincus, & Walter P. Carney. (1994). The c-erbB-2 Protein in Oncogenesis: Molecular Structure to Molecular Epidemiology. Critical Reviews™ in Oncogenesis. 5(2-3). 313–329. 55 indexed citations
15.
Hemminki, Kari, et al.. (1994). The Detection of Increased Amounts of the Extracellular Domain of the Epidermal Growth Factor Receptor in Serum During Carcinogenesis in Asbestosis Patients. Journal of Occupational and Environmental Medicine. 36(12). 1324–1328. 55 indexed citations
16.
Yu, Ming‐Whei, et al.. (1994). Correlations of chronic hepatitis B virus infection and cigarette smoking with elevated expression of neu oncoprotein in the development of hepatocellular carcinoma.. PubMed. 54(19). 5106–10. 26 indexed citations
17.
Li, Benjamin D.�L., Kenneth D. Bauer, Walter P. Carney, & Rosemary B. Duda. (1993). Detection of c-erbB-2 Oncoprotein Expression in Breast Tissue by Multiparameter Flow Cytometry. Journal of Surgical Research. 54(3). 179–188. 4 indexed citations
18.
Hamer, Peter, et al.. (1991). Production and Characterization of Monoclonal Antibodies to Ha- ras and N- ras p21. Hybridoma. 10(4). 467–480. 3 indexed citations
19.
McKenzie, S J, et al.. (1989). Generation and characterization of monoclonal antibodies specific for the human neu oncogene product, p185.. PubMed. 4(5). 543–8. 117 indexed citations
20.
Minard, P., et al.. (1978). Experimental Vaccines in Schistosomiasis. Defense Technical Information Center (DTIC). 2 indexed citations

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.

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