Per Lundin

69 papers receiving 1.4k citations

Peers

Per Lundin
Comparison fields: 5 of 147
  • Hematology 155
  • Genetics 127
  • Microbiology 72
  • Endocrinology, Diabetes and Metabolism 177
  • Molecular Biology 649
Replace Amanda L. Woods with:
Amanda L. Woods United States
Annie Chung United States
Monica Liebert United States
Malegapuru W. Makgoba United States
Peter J. Richards Switzerland
Heng Xu China
Thomas A. Lane United States
G.A. Grant United States
Yasuo Adachi Japan
Per Lundin relative to Amanda L. Woods United States Amanda L. Woods's profile →
Citations per field
00.5×5.3×
Amanda L. Woods · 1×
Citations per year

Countries citing papers authored by Per Lundin

Since Specialization
Citations

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

Fields of papers citing papers by Per Lundin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992175
2 2008161
3 2008154
4 1988127
5 201192
6 197090
7 196958
8 196148
9 196446
10
Science for Welfare and Warfare: Technology and State Initiative in Cold War Sweden
201043
11 202035
12 201132
13 199131
14 195831
15 197228
16 197227
17 196524
18 196221
19 201019
20 198815

About Per Lundin

Per Lundin is a scholar working on Molecular Biology, Computer Science Applications, Mechanical Engineering, Genetics and Pediatrics, Perinatology and Child Health, having authored 73 papers that have together received 1.5k indexed citations. Recurring topics across this work include History of Computing Technologies (8 papers), RNA Interference and Gene Delivery (7 papers), Advanced biosensing and bioanalysis techniques (6 papers), Liver Disease Diagnosis and Treatment (4 papers), Advanced Data Storage Technologies (4 papers), Advanced machining processes and optimization (3 papers), Virus-based gene therapy research (3 papers) and Non-Destructive Testing Techniques (3 papers). The work is most often cited by research in Hematology (155 citations), Genetics (127 citations), Microbiology (72 citations), Endocrinology, Diabetes and Metabolism (177 citations) and Molecular Biology (649 citations). Per Lundin has collaborated with scholars based in Sweden, Estonia and United States. Frequent co-authors include Aleksander Weinfeld, Samir EL Andaloussi, Ove Lundvall, Ülo Langel, Peter Guterstam, Henrik J. Johansson, Maarja Andaloussi Mäe, Nikita Oskolkov, I Olow and Mats Hansen. Their work appears in journals such as European Journal of Endocrinology, Acta Paediatrica, Journal of Manufacturing Processes, Journal of Tourism History and The American Journal of Medicine.

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