Alan Perlman

1.3k citations
11 papers · 189 · h-index 5

Impact in

Papers in

    • Chronic Kidney Disease and Diabetes 4
    • Renal Diseases and Glomerulopathies 3
    • Chronic Lymphocytic Leukemia Research 2

Alan Perlman

10 papers receiving 184 citations

Peers

Alan Perlman
Comparison fields: 5 of 60
  • Nephrology 100
  • Clinical Biochemistry 15
  • Immunology 41
  • Hematology 18
  • Pathology and Forensic Medicine 26
Replace Gaosi Xu with:
Gaosi Xu China
Yuji Sekine Japan
Shinya Ogasawara Japan
Shintaro Honda Japan
Yoshiharu Morita Japan
Zihua Yu China
Sawsan M. Jalalah Saudi Arabia
Joseph S. Lee United States
Mari Kamiya Japan
Karim Bouchireb France
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Citations per year

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-authors

The 25 scholars most cited alongside Alan Perlman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Alan Perlman Line = papers co-authored together Alan Perlman links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
Serum Inflammatory and Immune Mediators Are Elevated in Early Stage Diabetic Nephropathy.
201583
2 201849
3
Angiotensin II regulation of TGF-beta in murine mesangial cells involves both PI3 kinase and MAP kinase.
200422
4 201721
5 19695
6 20153
7 20072
8 20142
9 20211
10 20131
11
Utility of Cystatin C in the Setting of Urinoma.
20180

About Alan Perlman

Alan Perlman is a scholar working on Nephrology, Genetics, Pulmonary and Respiratory Medicine, Public Health, Environmental and Occupational Health and Transplantation, having authored 11 papers that have together received 189 indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (4 papers), Renal Diseases and Glomerulopathies (3 papers), Chronic Lymphocytic Leukemia Research (2 papers), Renal Transplantation Outcomes and Treatments (2 papers), Pharmacological Effects and Toxicity Studies (1 paper), Lexicography and Language Studies (1 paper), Apelin-related biomedical research (1 paper) and Lymphoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Nephrology (100 citations), Clinical Biochemistry (15 citations), Immunology (41 citations), Hematology (18 citations) and Pathology and Forensic Medicine (26 citations). Alan Perlman has collaborated with scholars based in United States and Germany. Frequent co-authors include James M. Chevalier, Surya V. Seshan, Raymond L. Sherman, Francis X. Farrell, Choli Hartono, Patrick Wilkinson, Thomas S. Parker, Hao Liu, Daniel M. Levine and David Serur. Their work appears in journals such as Kidney International Reports, American Speech, Clinical Nephrology, Journal of Ultrasound in Medicine and American Journal of Therapeutics.

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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