Michael Liem

4.2k citations
34 papers · 3.1k indexed · 1 hit paper · h-index 28

Impact in

Papers in

Michael Liem

34 papers receiving 3.0k citations

Hit Papers

Comparative proteomics evaluation of plasma exosome isolation techniques and assessment of the stability of exosomes in normal human blood plasma 2013 · 510 citations
5102013202620172021100200300400500

Peers

Michael Liem
Comparison fields: 5 of 122
  • Cancer Research 908
  • Neurology 496
  • Molecular Biology 2.0k
  • Immunology and Allergy 151
  • Neurology 145
Replace Ute Felbor with:
Ute Felbor Germany
Ignacio González-Gómez United States
Linda Rangell United States
Darren P. Baker United States
Jonas Heilskov Graversen Denmark
John Choi United States
Michel Vidal France
Martin Trepel Germany
Sergey Kalachikov United States
Corry M.R. Weemaes Netherlands
Michael Liem relative to Ute Felbor Germany Ute Felbor's profile →
Citations per field
00.5×2.8×
Ute Felbor · 1×
Citations per year

Countries citing papers authored by Michael Liem

Since Specialization
Citations

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

Fields of papers citing papers by Michael Liem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20251
3 20216
4 202052
5 201958
6 2019107
7 201946
8 201829
9 2017100
10 201740
11 201774
12 2017177
13 2015305
14 201243
15 200942
16 200823
17 200359
18 2001128
19 199638
20 1995193

About Michael Liem

Michael Liem is a scholar working on Neurology, Immunology and Allergy, Cancer Research, Rheumatology and Renewable Energy, Sustainability and the Environment, having authored 34 papers that have together received 3.1k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (11 papers), Cerebrovascular and genetic disorders (9 papers), Metalloenzymes and iron-sulfur proteins (6 papers), MicroRNA in disease regulation (5 papers), Moyamoya disease diagnosis and treatment (5 papers), RNA Interference and Gene Delivery (4 papers), Cell Adhesion Molecules Research (4 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Cancer Research (908 citations), Neurology (496 citations), Molecular Biology (2.0k citations), Immunology and Allergy (151 citations) and Neurology (145 citations). Michael Liem has collaborated with scholars based in Australia, Netherlands and United States. Frequent co-authors include Suresh Mathivanan, Ching‐Seng Ang, Christopher G. Adda, Hina Kalra, Mark D. Hulett, Lahiru Gangoda, Ádám Mechler, Shivakumar Keerthikumar, Richard J. Simpson and Jeroen van der Grond. Their work appears in journals such as PROTEOMICS, Scientific Reports, Radiology, Journal of Extracellular Vesicles and Human Mutation.

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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