Laszlo Hopp

37 papers receiving 482 citations

Peers

Laszlo Hopp
Comparison fields: 5 of 73
  • Transplantation 89
  • Nephrology 54
  • Nutrition and Dietetics 66
  • Cardiology and Cardiovascular Medicine 86
  • Behavioral Neuroscience 12
Replace Ágnes Prókai with:
Ágnes Prókai Hungary
R. N. Saunders United Kingdom
Susan Dodd United Kingdom
Kiran Upadhyay United States
S. F. Smith United Kingdom
Carla Musso Argentina
A. P. Provoost Netherlands
Jae‐Hyung Chang United States
Polly A. Bittle United States
Monica M. Beyer United States
Laszlo Hopp relative to Ágnes Prókai Hungary Ágnes Prókai's profile →
Citations per field
00.5×
Ágnes Prókai · 1×
Citations per year

Countries citing papers authored by Laszlo Hopp

Since Specialization
Citations

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

Fields of papers citing papers by Laszlo Hopp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Laszlo Hopp, 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 Laszlo Hopp Line = papers co-authored together Laszlo Hopp links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198573
2 199451
3 198550
4 199534
5 199632
6 199426
7 198820
8 198618
9 199816
10 198616
11 199915
12 198715
13 199712
14 198612
15 198412
16 199911
17
Improving results of pediatric renal transplantation.
199411
18 199310
19 20048
20
Pediatric kidney transplantation at the University of Pittsburgh.
19948

About Laszlo Hopp

Laszlo Hopp is a scholar working on Molecular Biology, Surgery, Physiology, Nephrology and Genetics, having authored 37 papers that have together received 514 indexed citations. Recurring topics across this work include Ion Transport and Channel Regulation (10 papers), Ion channel regulation and function (7 papers), Renal Transplantation Outcomes and Treatments (4 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (3 papers), Renal Diseases and Glomerulopathies (3 papers), Renin-Angiotensin System Studies (2 papers), Receptor Mechanisms and Signaling (2 papers) and Erythrocyte Function and Pathophysiology (2 papers). The work is most often cited by research in Transplantation (89 citations), Nephrology (54 citations), Nutrition and Dietetics (66 citations), Cardiology and Cardiovascular Medicine (86 citations) and Behavioral Neuroscience (12 citations). Laszlo Hopp has collaborated with scholars based in United States, Hungary and Italy. Frequent co-authors include Abraham Aviv, N Lasker, Susan D. Grossman, Nisan Gilboa, Leslie Iffy, Hiroshi Tamura, Bunyad Haider, Mark L. Jordan, Velma P. Scantlebury and Demetrius Ellis. Their work appears in journals such as Pediatric Nephrology, Journal of Cellular Physiology, Hypertension, American Journal of Physiology-Cell Physiology and Clinical and Experimental Pharmacology and Physiology.

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