Ping L. Zhang

2.0k total citations
90 papers, 1.5k citations indexed

About

Ping L. Zhang is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Nephrology. According to data from OpenAlex, Ping L. Zhang has authored 90 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 33 papers in Pulmonary and Respiratory Medicine and 31 papers in Nephrology. Recurrent topics in Ping L. Zhang's work include Renal Diseases and Glomerulopathies (21 papers), Renal cell carcinoma treatment (13 papers) and Renal and related cancers (13 papers). Ping L. Zhang is often cited by papers focused on Renal Diseases and Glomerulopathies (21 papers), Renal cell carcinoma treatment (13 papers) and Renal and related cancers (13 papers). Ping L. Zhang collaborates with scholars based in United States, United Kingdom and India. Ping L. Zhang's co-authors include Robert Brown, Mingyue Lun, Seymour Rosen, Kaushik P. Patel, Guillermo A. Herrera, Craig A. Peters, Ximing J. Yang, Fan Lin, Bei Liu and Yi Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and Circulation Research.

In The Last Decade

Ping L. Zhang

85 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ping L. Zhang United States 23 579 355 306 245 233 90 1.5k
Ryuji Ohashi Japan 21 684 1.2× 323 0.9× 427 1.4× 423 1.7× 243 1.0× 119 1.8k
Lorna Marson United Kingdom 21 537 0.9× 262 0.7× 438 1.4× 183 0.7× 336 1.4× 48 1.5k
Timothy A. Fields United States 20 723 1.2× 132 0.4× 220 0.7× 350 1.4× 184 0.8× 36 1.6k
Ana Tobar Israel 22 645 1.1× 192 0.5× 293 1.0× 399 1.6× 178 0.8× 51 2.1k
Claudio Di Cristofano Italy 30 778 1.3× 461 1.3× 480 1.6× 200 0.8× 275 1.2× 98 2.1k
Sue C. Heffelfinger United States 22 435 0.8× 793 2.2× 535 1.7× 200 0.8× 391 1.7× 52 2.0k
Margherita Gigante Italy 21 440 0.8× 283 0.8× 116 0.4× 195 0.8× 244 1.0× 38 1.2k
Chin‐Yuan Tzen Taiwan 25 906 1.6× 701 2.0× 458 1.5× 267 1.1× 649 2.8× 82 2.4k
Lucia Catani Italy 29 711 1.2× 134 0.4× 275 0.9× 109 0.4× 200 0.9× 109 2.5k
Elsa Valderrama United States 27 527 0.9× 392 1.1× 362 1.2× 533 2.2× 134 0.6× 98 2.1k

Countries citing papers authored by Ping L. Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Ping L. Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ping L. Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Ping L. Zhang. A scholar is included among the top collaborators of Ping L. Zhang 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 Ping L. Zhang. Ping L. Zhang 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.
Kennedy, Ann R., Kanika Arora, Harry Zhang, et al.. (2025). Varieties of altered TFE3 can occur in MiT-family-related renal cell carcinomas. International Urology and Nephrology. 57(8). 2425–2433.
2.
3.
Jabbar, Kausar J., et al.. (2022). Focal Segmental Glomerulosclerosis (FSGS) Progressing to Collapsing Glomerulopathy in Renal Transplant Recipients With and Without COVID-19 Infection.. Transplantation Proceedings. 54(6). 1465–1470. 4 indexed citations
4.
Blatt, Neal B., et al.. (2021). Myeloperoxidase immunohistochemical staining can identify glomerular endothelial cell injury in dense deposit disease. Pediatric Nephrology. 36(12). 4003–4007. 1 indexed citations
5.
Bonsib, Stephen M., Christie L. Boils, Neriman Gökden, et al.. (2016). Tuberous sclerosis complex: Hamartin and tuberin expression in renal cysts and its discordant expression in renal neoplasms. Pathology - Research and Practice. 212(11). 972–979. 22 indexed citations
6.
Zhang, Ping L. & Jason Hafron. (2014). Progenitor/stem cells in renal regeneration and mass lesions. International Urology and Nephrology. 46(11). 2227–2236. 7 indexed citations
7.
Dumler, Francis, Jason Hafron, George D. Wilson, et al.. (2013). CD133 Staining Detects Acute Kidney Injury and Differentiates Clear Cell Papillary Renal Cell Carcinoma from Other Renal Tumors. 2013. 1–8. 5 indexed citations
8.
Li, Wei, Maryam A. Farinola, Michele T. Rooney, et al.. (2010). Adjuvant role of p53 immunostaining in detecting BK viral infection in renal allograft biopsies.. PubMed. 40(4). 324–9. 9 indexed citations
9.
Schröppel, Bernd, Bernd Krüger, Liron Walsh, et al.. (2009). Tubular Expression of KIM-1 Does not Predict Delayed Function After Transplantation. Journal of the American Society of Nephrology. 21(3). 536–542. 58 indexed citations
10.
Lin, Fan, Jianhui Shi, Haiyan Liu, et al.. (2008). Immunohistochemical Detection of the von Hippel-Lindau Gene Product (pVHL) in Human Tissues and Tumors. American Journal of Clinical Pathology. 129(4). 592–605. 34 indexed citations
11.
McLaren, Bernadette K., et al.. (2008). Increased Expression of p53 Protein Correlates With the Extent of Myocyte Damage in Cardiac Allograft Rejection. Congestive Heart Failure. 14(6). 293–297. 2 indexed citations
12.
Zhang, Ping L., et al.. (2007). C4d positivity is often associated with acute cellular rejection in renal transplant biopsies following Campath-1H (Alemtuzumab) induction.. PubMed. 37(2). 121–6. 8 indexed citations
13.
Zhang, Ping L., et al.. (2007). Morphoproteomic expression of H-ras (p21ras) correlates with serum monoclonal immunoglobulin reduction in multiple myeloma patients following pamidronate treatment.. PubMed. 37(1). 34–8. 4 indexed citations
14.
Liu, Bei, Yi Yang, Jie Dai, et al.. (2006). TLR4 Up-Regulation at Protein or Gene Level Is Pathogenic for Lupus-Like Autoimmune Disease. The Journal of Immunology. 177(10). 6880–6888. 117 indexed citations
15.
Zhang, Ping L., Sayeed K. Malek, Fan Lin, et al.. (2004). Monocyte-mediated acute renal rejection after combined treatment with preoperative Campath-1H (alemtuzumab) and postoperative immunosuppression.. PubMed. 34(2). 209–13. 8 indexed citations
16.
Teng, Jiamin, et al.. (2003). Insights into Mechanisms Responsible for Mesangial Alterations Associated with Fibrogenic Glomerulopathic Light Chains. Nephron Physiology. 94(2). p28–p38. 19 indexed citations
17.
Sun, Wei, Ping L. Zhang, & Guillermo A. Herrera. (2002). p53 Protein and Ki-67 Overexpression in Urothelial Dysplasia of Bladder. Applied immunohistochemistry & molecular morphology. 10(4). 327–331. 26 indexed citations
18.
Zhang, Ping L., Craig A. Peters, & Seymour Rosen. (2000). Ureteropelvic junction obstruction: morphological and clinical studies. Pediatric Nephrology. 14(8-9). 820–826. 69 indexed citations
19.
Patel, Kaushik P. & Ping L. Zhang. (1995). Baroreflex function in streptozotocin (STZ) induced diabetic rats. Diabetes Research and Clinical Practice. 27(1). 1–9. 16 indexed citations
20.
Zhang, Ping L., Harald S. Mackenzie, Julia L. Troy, & B M Brenner. (1994). Effects of natriuretic peptide receptor inhibition on remnant kidney function in rats. Kidney International. 46(2). 414–420. 15 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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