Bob L. Hou

1.5k total citations
32 papers, 1.1k citations indexed

About

Bob L. Hou is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Genetics. According to data from OpenAlex, Bob L. Hou has authored 32 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Cognitive Neuroscience and 5 papers in Genetics. Recurrent topics in Bob L. Hou's work include Advanced MRI Techniques and Applications (16 papers), Advanced Neuroimaging Techniques and Applications (10 papers) and MRI in cancer diagnosis (8 papers). Bob L. Hou is often cited by papers focused on Advanced MRI Techniques and Applications (16 papers), Advanced Neuroimaging Techniques and Applications (10 papers) and MRI in cancer diagnosis (8 papers). Bob L. Hou collaborates with scholars based in United States, China and United Kingdom. Bob L. Hou's co-authors include Andrei I. Holodny, Philip H. Gutin, Kyung K. Peck, Sasan Karimi, Jenghwa Chang, Nicole M. Petrovich, Lauren E. Abrey, Nimish Mohile, Stella Lymberis and Fábio M. Iwamoto and has published in prestigious journals such as Journal of Clinical Oncology, NeuroImage and Radiology.

In The Last Decade

Bob L. Hou

30 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bob L. Hou United States 16 513 433 262 220 134 32 1.1k
John K. Lyo United States 21 620 1.2× 327 0.8× 91 0.3× 361 1.6× 57 0.4× 33 1.2k
Zhiyi Sha United States 14 125 0.2× 266 0.6× 290 1.1× 106 0.5× 109 0.8× 32 883
Dongxiao Zhuang China 18 422 0.8× 455 1.1× 161 0.6× 45 0.2× 83 0.6× 50 894
Erik Magnus Berntsen Norway 17 476 0.9× 533 1.2× 60 0.2× 117 0.5× 77 0.6× 50 973
Igor Pronin Russia 14 341 0.7× 281 0.6× 100 0.4× 78 0.4× 122 0.9× 151 835
Joe X Qiao United States 8 472 0.9× 202 0.5× 48 0.2× 161 0.7× 52 0.4× 17 646
M Trémoulet France 19 325 0.6× 278 0.6× 232 0.9× 108 0.5× 95 0.7× 47 1.5k
Chang Yueh Ho United States 16 248 0.5× 202 0.5× 42 0.2× 157 0.7× 67 0.5× 47 786
Chengjun Yao China 19 379 0.7× 351 0.8× 156 0.6× 51 0.2× 70 0.5× 45 942
Michael Wahl United States 10 267 0.5× 210 0.5× 76 0.3× 117 0.5× 99 0.7× 20 588

Countries citing papers authored by Bob L. Hou

Since Specialization
Citations

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

Fields of papers citing papers by Bob L. Hou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bob L. Hou. 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 Bob L. Hou. The network helps show where Bob L. Hou may publish in the future.

Co-authorship network of co-authors of Bob L. Hou

This figure shows the co-authorship network connecting the top 25 collaborators of Bob L. Hou. A scholar is included among the top collaborators of Bob L. Hou 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 Bob L. Hou. Bob L. Hou 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.
Hou, Bob L., Sijin Wen, Gennadiy A. Katsevman, et al.. (2018). Magnetic Resonance Imaging Parameters and Their Impact on Survival of Patients with Glioblastoma: Tumor Perfusion Predicts Survival. World Neurosurgery. 124. e285–e295. 3 indexed citations
2.
3.
Peck, Kyung K., et al.. (2015). Vascular Reactivity Maps in Patients with Gliomas Using Breath‐Holding BOLD fMRI. Journal of Neuroimaging. 26(2). 232–239. 28 indexed citations
4.
Cao, Ya, Lifang Yang, Wuzhong Jiang, et al.. (2013). Therapeutic Evaluation of Epstein-Barr Virus-encoded Latent Membrane Protein-1 Targeted DNAzyme for Treating of Nasopharyngeal Carcinomas. Molecular Therapy. 22(2). 371–377. 63 indexed citations
5.
Liao, Weihua, et al.. (2012). Cerebral sparganosis in children: epidemiological, clinical and MR imaging characteristics. BMC Pediatrics. 12(1). 155–155. 20 indexed citations
6.
Zhang, Na, Lijuan Zhang, Bensheng Qiu, et al.. (2012). Correlation of volume transfer coefficient Ktrans with histopathologic grades of gliomas. Journal of Magnetic Resonance Imaging. 36(2). 355–363. 96 indexed citations
7.
Zhang, Na, Zhanli Hu, Xin Liu, et al.. (2010). A quantitative study of grade of gliomas by applying dynamic contrast-enhanced MR imaging technique. 23. 1615–1618. 1 indexed citations
8.
Chang, Connie Y., et al.. (2009). Functional MRI in the Presurgical Evaluation of Patients with Brain Tumors: Characterization of the Statistical Threshold. Stereotactic and Functional Neurosurgery. 88(1). 35–41. 12 indexed citations
9.
Peck, Kyung K., Michelle S. Bradbury, Nicole M. Petrovich, et al.. (2009). PRESURGICAL EVALUATION OF LANGUAGE USING FUNCTIONAL MAGNETIC RESONANCE IMAGING IN BRAIN TUMOR PATIENTS WITH PREVIOUS SURGERY. Neurosurgery. 64(4). 644–653. 35 indexed citations
10.
Gutin, Philip H., Fábio M. Iwamoto, Kathryn Beal, et al.. (2009). Safety and Efficacy of Bevacizumab With Hypofractionated Stereotactic Irradiation for Recurrent Malignant Gliomas. International Journal of Radiation Oncology*Biology*Physics. 75(1). 156–163. 294 indexed citations
11.
Hou, Bob L. & Jiani Hu. (2009). MRI and MRS of Human Brain Tumors. Methods in molecular biology. 520. 297–314. 10 indexed citations
12.
Ruff, Ilana, Kyung K. Peck, Bob L. Hou, et al.. (2008). Assessment of the Language Laterality Index in Patients with Brain Tumor Using Functional MR Imaging: Effects of Thresholding, Task Selection, and Prior Surgery. American Journal of Neuroradiology. 29(3). 528–535. 71 indexed citations
13.
Hou, Bob L., et al.. (2008). Effect of Age and Tumor Grade on BOLD Functional MR Imaging in Preoperative Assessment of Patients with Glioma. Radiology. 248(3). 971–978. 39 indexed citations
14.
Deng, Gary, Bob L. Hou, Andrei I. Holodny, & Barrie R. Cassileth. (2008). Functional magnetic resonance imaging (fMRI) changes and saliva production associated with acupuncture at LI-2 acupuncture point: a randomized controlled study. BMC Complementary and Alternative Medicine. 8(1). 37–37. 67 indexed citations
15.
Wang, Xiaoyi, et al.. (2008). Studying neonatal bilirubin encephalopathy with conventional MRI, MRS, and DWI. Neuroradiology. 50(10). 885–893. 29 indexed citations
16.
Chang, Jenghwa, et al.. (2008). Feasibility Study of Intensity-Modulated Radiotherapy (IMRT) Treatment Planning Using Brain Functional MRI. Medical dosimetry. 33(1). 42–47. 10 indexed citations
17.
Narayana, A., Jenghwa Chang, Sunitha B. Thakur, et al.. (2007). Use of MR spectroscopy and functional imaging in the treatment planning of gliomas. British Journal of Radiology. 80(953). 347–354. 50 indexed citations
18.
Hou, Bob L., Michelle S. Bradbury, Kyung K. Peck, et al.. (2006). Effect of brain tumor neovasculature defined by rCBV on BOLD fMRI activation volume in the primary motor cortex. NeuroImage. 32(2). 489–497. 122 indexed citations
19.
Petrovich, Nicole M., et al.. (2004). Functional MRI in the Brain Tumor Patient. Topics in Magnetic Resonance Imaging. 15(5). 325–335. 45 indexed citations
20.
Hou, Bob L., et al.. (1999). Enhanced NMR Logging Methods for Accurately Measuring Volumes of Gas and Light Oil in Hydrocarbon Reservoirs. SPE Annual Technical Conference and Exhibition.

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by John K. Lyo Breakdown of academic impact, for papers by Zhiyi Sha Breakdown of academic impact, for papers by Dongxiao Zhuang Breakdown of academic impact, for papers by Erik Magnus Berntsen Breakdown of academic impact, for papers by Igor Pronin Breakdown of academic impact, for papers by Joe X Qiao Breakdown of academic impact, for papers by M Trémoulet Breakdown of academic impact, for papers by Chang Yueh Ho Breakdown of academic impact, for papers by Chengjun Yao Breakdown of academic impact, for papers by Michael Wahl
Rankless by CCL
2026