Per Liss

2.8k citations
54 papers · 2.2k · h-index 22

Impact in

Papers in

Per Liss

53 papers receiving 2.1k citations

Peers

Per Liss
Comparison fields: 5 of 90
  • Nephrology 797
  • Critical Care and Intensive Care Medicine 162
  • Endocrinology, Diabetes and Metabolism 279
  • Surgery 627
  • Radiology, Nuclear Medicine and Imaging 309
Replace Roland Willenbrock with:
Roland Willenbrock Germany
Teut Risler Germany
Mayer Brezis Israel
Prabhleen Singh United States
Shin Takiuchi Japan
F. H. Epstein United States
Edward O. McFalls United States
T. Risler Germany
Marijn C. Meuwese Netherlands
Horng H. Chen United States
Per Liss relative to Roland Willenbrock Germany Roland Willenbrock's profile →
Citations per field
00.5×2×4×6×
Roland Willenbrock · 1×
Citations per year

Countries citing papers authored by Per Liss

Since Specialization
Citations

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

Fields of papers citing papers by Per Liss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005432
2 2001354
3 2014158
4 1998125
5 1996123
6 201899
7 200090
8 200472
9 200568
10 199855
11 200837
12 200536
13 200235
14 201233
15 201832
16 200232
17 200030
18 201029
19 200829
20 202326

About Per Liss

Per Liss is a scholar working on Nephrology, Radiology, Nuclear Medicine and Imaging, Surgery, Neurology and Physiology, having authored 54 papers that have together received 2.2k indexed citations. Recurring topics across this work include Acute Kidney Injury Research (18 papers), Traumatic Brain Injury and Neurovascular Disturbances (8 papers), MRI in cancer diagnosis (8 papers), Pancreatic function and diabetes (8 papers), Advanced MRI Techniques and Applications (6 papers), Renal and Vascular Pathologies (5 papers), Chronic Kidney Disease and Diabetes (4 papers) and Adipose Tissue and Metabolism (4 papers). The work is most often cited by research in Nephrology (797 citations), Critical Care and Intensive Care Medicine (162 citations), Endocrinology, Diabetes and Metabolism (279 citations), Surgery (627 citations) and Radiology, Nuclear Medicine and Imaging (309 citations). Per Liss has collaborated with scholars based in Sweden, United Kingdom and United States. Frequent co-authors include Peter Hansell, Fredrik Palm, Pontus B. Persson, Per‐Ola Carlsson, Arne Andersson, Anders Nygren, H. R. Ulfendahl, Uno Erikson, Per‐Ola Carlsson and Angelica Fasching. Their work appears in journals such as Advances in experimental medicine and biology, European Radiology, Diabetes, Upsala Journal of Medical Sciences and Kidney International.

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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