Daniel Krauss

4.5k total citations
123 papers, 2.9k citations indexed

About

Daniel Krauss is a scholar working on Pulmonary and Respiratory Medicine, Radiation and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Daniel Krauss has authored 123 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Pulmonary and Respiratory Medicine, 48 papers in Radiation and 21 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Daniel Krauss's work include Prostate Cancer Diagnosis and Treatment (50 papers), Advanced Radiotherapy Techniques (48 papers) and Prostate Cancer Treatment and Research (47 papers). Daniel Krauss is often cited by papers focused on Prostate Cancer Diagnosis and Treatment (50 papers), Advanced Radiotherapy Techniques (48 papers) and Prostate Cancer Treatment and Research (47 papers). Daniel Krauss collaborates with scholars based in United States, France and Canada. Daniel Krauss's co-authors include Alvaro A. Martinez, Hong Ye, Larry L. Kestin, Gilles Renand, Peter Y. Chen, Frank A. Vicini, Gary Gustafson, P. F. Arthur, Di Yan and Roberto M. Lang and has published in prestigious journals such as Circulation, Journal of Clinical Oncology and Journal of the American College of Cardiology.

In The Last Decade

Daniel Krauss

119 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Krauss United States 30 1.5k 900 448 401 348 123 2.9k
Naoki Nakamura Japan 21 632 0.4× 281 0.3× 235 0.5× 564 1.4× 20 0.1× 149 1.5k
Ho Young Chung South Korea 25 907 0.6× 30 0.0× 40 0.1× 634 1.6× 480 1.4× 122 2.4k
Takehiro Inoue Japan 20 605 0.4× 406 0.5× 194 0.4× 308 0.8× 53 0.2× 76 1.3k
Andrew Sykes United Kingdom 22 568 0.4× 180 0.2× 170 0.4× 620 1.5× 33 0.1× 60 1.5k
George S. Leight United States 30 367 0.2× 9 0.0× 136 0.3× 1.4k 3.5× 521 1.5× 65 3.0k
Yuliang Liu China 17 85 0.1× 25 0.0× 95 0.2× 242 0.6× 34 0.1× 48 982
Takeo Sato Japan 25 535 0.3× 8 0.0× 64 0.1× 874 2.2× 73 0.2× 165 2.6k
Stephen M. Humphries United States 24 1.2k 0.8× 44 0.0× 282 0.6× 103 0.3× 13 0.0× 72 1.6k
Peter Wahlberg Sweden 19 237 0.2× 18 0.0× 166 0.4× 473 1.2× 192 0.6× 84 1.6k
Chris Cunningham United Kingdom 42 898 0.6× 12 0.0× 237 0.5× 4.4k 11.0× 154 0.4× 177 6.1k

Countries citing papers authored by Daniel Krauss

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Krauss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Krauss. 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 Daniel Krauss. The network helps show where Daniel Krauss may publish in the future.

Co-authorship network of co-authors of Daniel Krauss

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Krauss. A scholar is included among the top collaborators of Daniel Krauss 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 Daniel Krauss. Daniel Krauss 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.
2.
Ye, Hong, Evelyn Sebastian, Matthew S. Johnson, et al.. (2024). 21 Gy single fraction prostate HDR brachytherapy: 5-year results of a single institution prospective pilot study. Brachytherapy. 23(3). 321–328.
5.
Liu, Qiang, et al.. (2018). Dosimetric Evaluation of Incorporating Patient Geometric Variations Into Adaptive Plan Optimization Through Probabilistic Treatment Planning in Head and Neck Cancers. International Journal of Radiation Oncology*Biology*Physics. 101(4). 985–997. 21 indexed citations
7.
Sura, K., et al.. (2016). Outcomes and Toxicity for Treatment of Adrenal Metastases With Radiation Therapy. International Journal of Radiation Oncology*Biology*Physics. 96(2). E273–E274. 1 indexed citations
8.
Krauss, Daniel, et al.. (2016). Favorable Preliminary Outcomes for Men With Low- and Intermediate-risk Prostate Cancer Treated With 19-Gy Single-fraction High-dose-rate Brachytherapy. International Journal of Radiation Oncology*Biology*Physics. 97(1). 98–106. 49 indexed citations
9.
Vicini, Frank A., Chirag Shah, Larry L. Kestin, et al.. (2011). Identifying Differences Between Biochemical Failure and Cure: Incidence Rates and Predictors. International Journal of Radiation Oncology*Biology*Physics. 81(4). e369–e375. 6 indexed citations
10.
Mohammed, Nasiruddin, Larry L. Kestin, Mihai Ghilezan, et al.. (2010). Comparison of Acute and Late Toxicities for Three Modern High-Dose Radiation Treatment Techniques for Localized Prostate Cancer. International Journal of Radiation Oncology*Biology*Physics. 82(1). 204–212. 117 indexed citations
12.
Vargas, Carlos, Larry L. Kestin, Daniel Krauss, et al.. (2005). Factors associated with local recurrence and cause-specific survival in patients with ductal carcinoma in situ of the breast treated with breast-conserving therapy or mastectomy. International Journal of Radiation Oncology*Biology*Physics. 63(5). 1514–1521. 76 indexed citations
13.
Mialon, Marie‐Madeleine, Gilles Renand, Daniel Krauss, & François Ménissier. (2001). Genetic relationship between cyclic ovarian activity in heifers and cows and beef traits in males. Genetics Selection Evolution. 33(3). 273–87. 15 indexed citations
14.
Mialon, Marie‐Madeleine, Gilles Renand, Daniel Krauss, & François Ménissier. (1999). Age à la puberté chez la génisse Charolaise en relation avec la croissance. 2. Variabilité génétique. HAL (Le Centre pour la Communication Scientifique Directe). 2 indexed citations
15.
Roters, Sigrid, et al.. (1999). Treatment of retinal artery occlusion with adjunctive hyperbaric oxygen. 40(4). 70615. 1 indexed citations
16.
Spencer, Kirk T., Daniel Krauss, Victor Mor‐Avi, et al.. (1997). Transnasal transesophageal echocardiography. Journal of the American Society of Echocardiography. 10(7). 728–737. 39 indexed citations
17.
Lang, Roberto M., Uri Elkayam, Daniel Krauss, et al.. (1997). Comparative Effects of Losartan and Enalapril on Exercise Capacity and Clinical Status in Patients With Heart Failure fn1fn1This study was supported by a grant from Merck Research Laboratories, West Point, Pennsylvania.. Journal of the American College of Cardiology. 30(4). 983–991. 88 indexed citations
18.
Renand, Gilles, Philippe Bergé, Brigitte B. Picard, et al.. (1994). Genetic parameters of beef production and meat quality traits of young Charolais bull progeny of divergently selected sires.. Proceedings of the World Congress on Genetics applied to Livestock Production. 446–449. 10 indexed citations
19.
Krauss, Daniel, et al.. (1993). Anomalous connection between the sinus node artery and the A‐V node artery. Catheterization and Cardiovascular Diagnosis. 29(3). 236–239. 2 indexed citations
20.
Lefaucheur, Louis, et al.. (1989). Influence de la temperature d'elevage sur la croissance, le metabolisme tissulaire et la qualite de la viande. HAL (Le Centre pour la Communication Scientifique Directe). 1 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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