Max X. Kong

863 total citations
23 papers, 540 citations indexed

About

Max X. Kong is a scholar working on Pulmonary and Respiratory Medicine, Rheumatology and Surgery. According to data from OpenAlex, Max X. Kong has authored 23 papers receiving a total of 540 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Pulmonary and Respiratory Medicine, 7 papers in Rheumatology and 4 papers in Surgery. Recurrent topics in Max X. Kong's work include Prostate Cancer Diagnosis and Treatment (10 papers), Urologic and reproductive health conditions (7 papers) and Prostate Cancer Treatment and Research (6 papers). Max X. Kong is often cited by papers focused on Prostate Cancer Diagnosis and Treatment (10 papers), Urologic and reproductive health conditions (7 papers) and Prostate Cancer Treatment and Research (6 papers). Max X. Kong collaborates with scholars based in United States, Japan and China. Max X. Kong's co-authors include Samir S. Taneja, Andrew B. Rosenkrantz, Jonathan Melamed, Fang-Ming Deng, James S. Babb, Ming Zhou, Cheng Huang, Krishna Shanbhogue, Annie Wang and Justin Ream and has published in prestigious journals such as JAMA, Scientific Reports and The American Journal of Surgical Pathology.

In The Last Decade

Max X. Kong

21 papers receiving 533 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Max X. Kong United States 12 350 135 127 113 88 23 540
Jens Erik Nielsen Denmark 8 144 0.4× 17 0.1× 52 0.4× 60 0.5× 59 0.7× 15 405
Hillel Kahane United States 14 571 1.6× 379 2.8× 28 0.2× 197 1.7× 68 0.8× 23 713
Ryoichi Kondo Japan 13 471 1.3× 26 0.2× 176 1.4× 151 1.3× 114 1.3× 76 752
Ralph L. Smathers United States 12 137 0.4× 28 0.2× 52 0.4× 144 1.3× 35 0.4× 18 294
Constantin Schwab Germany 11 388 1.1× 129 1.0× 147 1.2× 84 0.7× 112 1.3× 44 688
Jian Zhu China 10 145 0.4× 35 0.3× 64 0.5× 106 0.9× 90 1.0× 32 401
William Merchant United Kingdom 14 149 0.4× 146 1.1× 10 0.1× 115 1.0× 183 2.1× 36 541
Telma C. Pereira United States 13 112 0.3× 22 0.2× 56 0.4× 63 0.6× 142 1.6× 20 474
Fatma Tokat Türkiye 12 92 0.3× 41 0.3× 89 0.7× 89 0.8× 67 0.8× 45 378
Donald S. Brabbins United States 13 842 2.4× 54 0.4× 377 3.0× 88 0.8× 54 0.6× 28 1.1k

Countries citing papers authored by Max X. Kong

Since Specialization
Citations

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

Fields of papers citing papers by Max X. Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Max X. Kong. 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 Max X. Kong. The network helps show where Max X. Kong may publish in the future.

Co-authorship network of co-authors of Max X. Kong

This figure shows the co-authorship network connecting the top 25 collaborators of Max X. Kong. A scholar is included among the top collaborators of Max X. Kong 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 Max X. Kong. Max X. Kong 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
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Jia, Liwei, Fang-Ming Deng, Max X. Kong, Chin‐Lee Wu, & Ximing J. Yang. (2021). Common Diagnostic Challenges and Pitfalls in Genitourinary Organs, With Emphasis on Immunohistochemical and Molecular Updates. Archives of Pathology & Laboratory Medicine. 145(11). 1387–1404. 4 indexed citations
4.
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Kong, Max X., et al.. (2016). Modification of the pT2 substage classification in prostate adenocarcinoma. Human Pathology. 56. 57–63. 9 indexed citations
6.
Rosenkrantz, Andrew B., Nainesh Parikh, Andrea S. Kierans, et al.. (2016). Prostate Cancer Detection Using Computed Very High b-value Diffusion-weighted Imaging: How High Should We Go?. Academic Radiology. 23(6). 704–711. 49 indexed citations
7.
Ream, Justin, Ankur M. Doshi, Nainesh Parikh, et al.. (2016). Dynamic contrast‐enhanced MRI of the prostate: An intraindividual assessment of the effect of temporal resolution on qualitative detection and quantitative analysis of histopathologically proven prostate cancer. Journal of Magnetic Resonance Imaging. 45(5). 1464–1475. 20 indexed citations
8.
Sridharan, Shamira, Virgilia Macias, Krishnarao Tangella, et al.. (2016). Prediction of prostate cancer recurrence using quantitative phase imaging: Validation on a general population. Scientific Reports. 6(1). 33818–33818. 27 indexed citations
9.
Hickman, Richard A., Hui Yu, Jianhong Li, et al.. (2016). Atypical Intraductal Cribriform Proliferations of the Prostate Exhibit Similar Molecular and Clinicopathologic Characteristics as Intraductal Carcinoma of the Prostate. The American Journal of Surgical Pathology. 41(4). 550–556. 34 indexed citations
10.
Deng, Fang-Ming, Max X. Kong, & Ming Zhou. (2015). Papillary or pseudopapillary tumors of the kidney. Seminars in Diagnostic Pathology. 32(2). 124–139. 3 indexed citations
11.
Kong, Max X., Esther Drill, Luc G.T. Morris, et al.. (2015). Prognostic Factors in Myoepithelial Carcinoma of Salivary Glands. The American Journal of Surgical Pathology. 39(7). 931–938. 50 indexed citations
12.
Huang, Cheng, Max X. Kong, Ming Zhou, et al.. (2014). Gleason Score 3 + 4=7 Prostate Cancer With Minimal Quantity of Gleason Pattern 4 on Needle Biopsy Is Associated With Low-risk Tumor in Radical Prostatectomy Specimen. The American Journal of Surgical Pathology. 38(8). 1096–1101. 74 indexed citations
13.
Huang, Cheng, et al.. (2014). Re-evaluating the concept of “dominant/index tumor nodule” in multifocal prostate cancer. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 464(5). 589–594. 50 indexed citations
14.
Kong, Max X., Xiangrong Zhao, Peng Lee, et al.. (2013). Histopathologic and Clinical Features of Vesical Diverticula. Urology. 82(1). 142–147. 19 indexed citations
15.
Bosland, Maarten C., Ikuko Kato, Anne Zeleniuch‐Jacquotte, et al.. (2013). Effect of Soy Protein Isolate Supplementation on Biochemical Recurrence of Prostate Cancer After Radical Prostatectomy. JAMA. 310(2). 170–170. 56 indexed citations
16.
Kong, Max X., Peng Lee, Nicholas Cassai, et al.. (2013). Bilateral Tubulocystic Renal Cell Carcinomas in Diabetic End-Stage Renal Disease: First Case Report with Cytogenetic and Ultrastructural Studies. Rare Tumors. 5(4). 185–188. 2 indexed citations
17.
Kong, Max X., Qian Yao, Shuyi Wang, et al.. (2012). Expression of Sox10 and c-kit in Sinonasal Mucosal Melanomas Arising in the Chinese Population. Head and Neck Pathology. 6(4). 401–408. 13 indexed citations
18.
Rosenkrantz, Andrew B., Thaís Caldara Mussi, Nicole Hindman, et al.. (2012). Impact of delay after biopsy and post-biopsy haemorrhage on prostate cancer tumour detection using multi-parametric MRI: A multi-reader study. Clinical Radiology. 67(12). e83–e90. 22 indexed citations
19.
Kong, Max X., et al.. (2012). Fatal Mycoplasma Pneumoniae Infection: Case Report and Review of the Literature. North American Journal of Medicine and Science. 5(2). 126–126. 4 indexed citations
20.
Inaba, Yuji, et al.. (1997). Effect of heparin on a haemagglutinin of porcine reproductive and respiratory syndrome virus. Research in Veterinary Science. 62(3). 261–264. 7 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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