Alan Perlman

1.3k total citations
11 papers, 189 citations indexed

About

Alan Perlman is a scholar working on Nephrology, Genetics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Alan Perlman has authored 11 papers receiving a total of 189 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Nephrology, 2 papers in Genetics and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Alan Perlman's work include Chronic Kidney Disease and Diabetes (4 papers), Renal Diseases and Glomerulopathies (3 papers) and Renal Transplantation Outcomes and Treatments (2 papers). Alan Perlman is often cited by papers focused on Chronic Kidney Disease and Diabetes (4 papers), Renal Diseases and Glomerulopathies (3 papers) and Renal Transplantation Outcomes and Treatments (2 papers). Alan Perlman collaborates with scholars based in United States and Germany. Alan Perlman's co-authors include James M. Chevalier, Surya V. Seshan, Francis X. Farrell, Raymond L. Sherman, Hao Liu, Thomas S. Parker, Patrick Wilkinson, Choli Hartono, Daniel M. Levine and Thangamani Muthukumar and has published in prestigious journals such as Journal of Ultrasound in Medicine, American Journal of Therapeutics and Transplantation Proceedings.

In The Last Decade

Alan Perlman

10 papers receiving 184 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alan Perlman United States	5	100	41	35	26	21	11	189
Yoshiharu Morita Japan	8	145 1.4×	74 1.8×	65 1.9×	21 0.8×	34 1.6×	25	298
Gaosi Xu China	8	73 0.7×	30 0.7×	177 5.1×	21 0.8×	13 0.6×	13	297
Yuji Sekine Japan	10	75 0.8×	24 0.6×	79 2.3×	28 1.1×	91 4.3×	32	301
Shinya Ogasawara Japan	8	249 2.5×	70 1.7×	116 3.3×	33 1.3×	42 2.0×	10	388
Sawsan M. Jalalah Saudi Arabia	8	92 0.9×	12 0.3×	29 0.8×	19 0.7×	24 1.1×	24	168
Shintaro Honda Japan	9	28 0.3×	32 0.8×	75 2.1×	11 0.4×	48 2.3×	13	252
Rima S. Zahr United States	6	52 0.5×	17 0.4×	38 1.1×	6 0.2×	36 1.7×	19	175
Xiaozhou He China	11	58 0.6×	111 2.7×	49 1.4×	7 0.3×	18 0.9×	26	318
Zihua Yu China	9	191 1.9×	21 0.5×	170 4.9×	42 1.6×	37 1.8×	37	288
Yiting Song Sweden	8	61 0.6×	59 1.4×	87 2.5×	17 0.7×	19 0.9×	17	338

Countries citing papers authored by Alan Perlman

Since Specialization

Citations

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

Fields of papers citing papers by Alan Perlman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alan Perlman

This figure shows the co-authorship network connecting the top 25 collaborators of Alan Perlman. A scholar is included among the top collaborators of Alan Perlman 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 Alan Perlman. Alan Perlman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

Tummalapalli, Sri Lekha, Daniel Cukor, Daniel M. Levine, et al.. (2021). A Mobile Health–Based Survey to Assess COVID-19 Vaccine Intent and Uptake Among Patients on Dialysis. Kidney International Reports. 7(3). 633–637. 1 indexed citations

Hartono, Choli, Miriam Chung, Alan Perlman, et al.. (2018). Bortezomib for Reduction of Proteinuria in IgA Nephropathy. Kidney International Reports. 3(4). 861–866. 49 indexed citations

Perlman, Alan, et al.. (2018). Utility of Cystatin C in the Setting of Urinoma.. PubMed. 48(4). 496–500.

Gao, Jing, Alan Perlman, Nathaniel Berman, et al.. (2017). Multiparametric Quantitative Ultrasound Imaging in Assessment of Chronic Kidney Disease. Journal of Ultrasound in Medicine. 36(11). 2245–2256. 21 indexed citations

Inayat, Faisal, et al.. (2015). Minimal change disease: an unusual presentation of marginal zone MALT lymphoma. Clinical Nephrology. 85 (2016)(3). 184–188. 3 indexed citations

Perlman, Alan, James M. Chevalier, Patrick Wilkinson, et al.. (2015). Serum Inflammatory and Immune Mediators Are Elevated in Early Stage Diabetic Nephropathy.. PubMed. 45(3). 256–63. 83 indexed citations

Kamal, Layla, et al.. (2014). Concomitance of IgA Nephropathy and Diabetic Nephropathy in a Kidney Allograft: Case Report and Review of the Literature. Transplantation Proceedings. 46(7). 2396–2399. 2 indexed citations

Perlman, Alan, et al.. (2013). Prevention of Recurrent Episodes of Rhabdomyolysis With Tacrolimus in a Transplant Recipient With Myopathy. American Journal of Therapeutics. 21(5). e171–e174. 1 indexed citations

Perlman, Alan, Eugene H. Kim, Bhaskar Kallakury, Jimmy A. Light, & Jack Moore. (2007). Clinically Significant Proteinuria Following the Administration of Sirolimus to Renal Transplant Recipients. Drug Metabolism Letters. 1(4). 267–271. 2 indexed citations

10.

Perlman, Alan, et al.. (2004). Angiotensin II regulation of TGF-beta in murine mesangial cells involves both PI3 kinase and MAP kinase.. PubMed. 34(3). 277–86. 22 indexed citations

11.

Perlman, Alan. (1969). "This" as a Third Article in American English. American Speech. 44(1). 76–76. 5 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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