Anssi Lipponen

1.1k citations
30 papers · 583 · h-index 13

Impact in

Papers in

    • S100 Proteins and Annexins 5
    • Mitochondrial Function and Pathology 3
    • SARS-CoV-2 detection and testing 8
    • Viral gastroenteritis research and epidemiology 3
    • SARS-CoV-2 and COVID-19 Research 3

Anssi Lipponen

27 papers receiving 581 citations

Peers

Anssi Lipponen
Comparison fields: 5 of 95
  • Applied Microbiology and Biotechnology 26
  • Infectious Diseases 147
  • Molecular Medicine 40
  • Cancer Research 88
  • Pollution 59
Replace C Laurent with:
C Laurent France
Irina Korschineck Austria
Kun Tan China
Eric Stevens United States
Jung‐Hyun Choi South Korea
Eran Mick United States
Amy Tsurumi United States
Xianwei Cao China
Cameron C. Ellis United States
Caixia Lü China
Anssi Lipponen relative to C Laurent France C Laurent's profile →
Citations per field
00.5×10×20×26.2×
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Citations per year

Countries citing papers authored by Anssi Lipponen

Since Specialization
Citations

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

Fields of papers citing papers by Anssi Lipponen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201898
2 202293
3 202264
4 201657
5 201634
6 201829
7 202326
8 201924
9 202423
10 201415
11 202415
12 201814
13 201913
14 202111
15 202310
16 201910
17 201810
18 20199
19 20215
20 20205

About Anssi Lipponen

Anssi Lipponen is a scholar working on Molecular Biology, Infectious Diseases, Neurology, Cancer Research and Epidemiology, having authored 30 papers that have together received 583 indexed citations. Recurring topics across this work include SARS-CoV-2 detection and testing (8 papers), Traumatic Brain Injury and Neurovascular Disturbances (7 papers), S100 Proteins and Annexins (5 papers), Biosensors and Analytical Detection (4 papers), Anesthesia and Neurotoxicity Research (4 papers), Viral gastroenteritis research and epidemiology (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Mitochondrial Function and Pathology (3 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (26 citations), Infectious Diseases (147 citations), Molecular Medicine (40 citations), Cancer Research (88 citations) and Pollution (59 citations). Anssi Lipponen has collaborated with scholars based in Finland, Australia and Nigeria. Frequent co-authors include Asla Pitkänen, Noora Puhakka, Tarja Pitkänen, Jussi Paananen, Ananda Tiwari, Mette Heiskanen, Shalini Das Gupta, K. Lehto, Sami Oikarinen and Arto Koistinen. Their work appears in journals such as International Journal of Molecular Sciences, Scientific Reports, Frontiers in Microbiology, Water Research and Journal of Neurotrauma.

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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