S.B. Curtis

1.3k total citations
62 papers, 990 citations indexed

About

S.B. Curtis is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Radiation. According to data from OpenAlex, S.B. Curtis has authored 62 papers receiving a total of 990 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Pulmonary and Respiratory Medicine, 32 papers in Radiology, Nuclear Medicine and Imaging and 17 papers in Radiation. Recurrent topics in S.B. Curtis's work include Radiation Therapy and Dosimetry (43 papers), Effects of Radiation Exposure (24 papers) and Advanced Radiotherapy Techniques (13 papers). S.B. Curtis is often cited by papers focused on Radiation Therapy and Dosimetry (43 papers), Effects of Radiation Exposure (24 papers) and Advanced Radiotherapy Techniques (13 papers). S.B. Curtis collaborates with scholars based in United States, France and Switzerland. S.B. Curtis's co-authors include Edward L. Alpen, P. Powers-Risius, J. R. Letaw, T.S. Tenforde, John Wilson, Richard Fry, J. Lyman, W. Schilling, J. Howard and William Atwell and has published in prestigious journals such as Radiology, International Journal of Radiation Oncology*Biology*Physics and Physics in Medicine and Biology.

In The Last Decade

S.B. Curtis

59 papers receiving 899 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S.B. Curtis United States 16 719 530 272 152 127 62 990
J. F. Dicello United States 18 645 0.9× 384 0.7× 315 1.2× 104 0.7× 58 0.5× 62 1.1k
T. C. Yang United States 22 842 1.2× 598 1.1× 187 0.7× 619 4.1× 356 2.8× 63 1.6k
Stanley B. Curtis United States 14 514 0.7× 404 0.8× 311 1.1× 159 1.0× 126 1.0× 28 817
Maria Antonella Tabocchini Italy 14 393 0.5× 336 0.6× 137 0.5× 256 1.7× 108 0.9× 35 756
G. Randers‐Pehrson United States 18 542 0.8× 617 1.2× 357 1.3× 162 1.1× 89 0.7× 46 1.1k
G. Simone Italy 18 882 1.2× 462 0.9× 352 1.3× 532 3.5× 204 1.6× 37 1.2k
P. Scampoli Italy 20 471 0.7× 352 0.7× 345 1.3× 87 0.6× 57 0.4× 86 974
Megumi Hada United States 21 714 1.0× 472 0.9× 148 0.5× 700 4.6× 318 2.5× 61 1.5k
F. Ballarini Italy 30 1.2k 1.6× 832 1.6× 725 2.7× 514 3.4× 223 1.8× 94 1.9k
Harald H. Rossi United States 23 1.3k 1.8× 846 1.6× 928 3.4× 269 1.8× 196 1.5× 66 2.0k

Countries citing papers authored by S.B. Curtis

Since Specialization
Citations

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

Fields of papers citing papers by S.B. Curtis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S.B. Curtis. 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 S.B. Curtis. The network helps show where S.B. Curtis may publish in the future.

Co-authorship network of co-authors of S.B. Curtis

This figure shows the co-authorship network connecting the top 25 collaborators of S.B. Curtis. A scholar is included among the top collaborators of S.B. Curtis 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 S.B. Curtis. S.B. Curtis 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.
Fitzgerald, David, Xiaoting Wu, Timothy A. Dickinson, et al.. (2024). Perfusion Measures and Outcomes (PERForm) registry: First annual report. Journal of ExtraCorporeal Technology. 56(2). 55–64.
2.
Curtis, S.B., William D. Hazelton, E. Georg Luebeck, & Suresh H. Moolgavkar. (2004). From mechanisms to risk estimation – bridging the chasm. Advances in Space Research. 34(6). 1404–1409. 16 indexed citations
3.
Curtis, S.B., E. Georg Luebeck, William D. Hazelton, & Suresh H. Moolgavkar. (2002). A new perspective of carcinogenesis from protracted high-let radiation arises from the two-stage clonal expansion model. Advances in Space Research. 30(4). 937–944. 11 indexed citations
4.
Curtis, S.B., Marcelo E. Vazquez, John Wilson, et al.. (1998). Cosmic ray hit frequencies in critical sites in the central nervous system. Advances in Space Research. 22(2). 197–207. 49 indexed citations
5.
Curtis, S.B.. (1996). Possible effects of protracted exposure on the additivity of risks from space radiations. Advances in Space Research. 18(1-2). 41–44. 5 indexed citations
6.
Curtis, S.B.. (1994). Importance of dose-rate and cell proliferation in the evaluation of biological experimental results. Advances in Space Research. 14(10). 989–996. 4 indexed citations
7.
Alpen, Edward L., et al.. (1994). Fluence-based relative biological effectiveness for charged particle carcinogenesis in mouse Harderian gland. Advances in Space Research. 14(10). 573–581. 80 indexed citations
8.
Curtis, S.B.. (1994). Single-track effects and new directions in GCR risk assessment. Advances in Space Research. 14(10). 885–894. 4 indexed citations
9.
Casalbuoni, R., et al.. (1993). VECTOR RESONANCES FROM A STRONG ELECTROWEAK SECTOR AT LINEAR COLLIDERS ∗). 9 indexed citations
10.
Curtis, S.B.. (1993). Risk from relativistic heavy ions on manned space missions. Radioprotection. 28(2). 179–181. 2 indexed citations
11.
Curtis, S.B., Lawrence W. Townsend, John Wilson, et al.. (1992). Fluence-related risk coefficients using the Harderian gland data as an example. Advances in Space Research. 12(2-3). 407–416. 29 indexed citations
12.
Curtis, S.B., et al.. (1991). Effects of HZE particles on astronauts. Transactions of the American Nuclear Society. 63. 2 indexed citations
13.
Afzal, Shahbaz, et al.. (1991). Reoxygenation in a rat rhabdomyosarcoma tumor following X-irradiation. International Journal of Radiation Oncology*Biology*Physics. 20(3). 473–477. 8 indexed citations
14.
Yang, T. C., Dieter C. Gruenert, W.R. Holley, & S.B. Curtis. (1990). Response of Cultured Human Airway Epithelial Cells to X-rays and Energetic α-particles. International Journal of Radiation Biology. 58(3). 509–517. 10 indexed citations
15.
Tenforde, T.S., et al.. (1989). Response of rat rhabdomyosarcoma tumors to split doses of mixed high- and low-let radiation. International Journal of Radiation Oncology*Biology*Physics. 16(6). 1529–1536. 2 indexed citations
16.
Curtis, S.B. & J. R. Letaw. (1989). Galactic cosmic rays and cell-hit frequencies outside the magnetosphere. Advances in Space Research. 9(10). 293–298. 78 indexed citations
17.
Travis, Elizabeth L., S.B. Curtis, J. Howard, & Jack F. Fowler. (1987). Repair but not potentiation observed in mouse lung irradiated with neon ions.. PubMed. 112(3). 500–7. 2 indexed citations
18.
Curtis, S.B.. (1986). Track structure in biological models. Advances in Space Research. 6(11). 179–185. 4 indexed citations
19.
Collyn-d'Hooghe, M, et al.. (1981). Comparative Effects of 60 Co γ-rays and Neon and Helium Ions on Cycle Duration and Division Probability of EMT 6 Cells. A Time-lapse Cinematography Study. International Journal of Radiation Biology and Related Studies in Physics Chemistry and Medicine. 39(3). 297–306. 17 indexed citations
20.
Curtis, S.B., et al.. (1972). The heavy particle hazard, what physical data are needed?. NASA Technical Reports Server (NASA). 8 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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