Lee Makowski
Impact in
- Structural Biology top 2%
- Molecular Biology top 2%
- Protein Structure and Dynamics
- Connexins and lens biology
- RNA and protein synthesis mechanisms
- Glycosylation and Glycoproteins Research
- Heat shock proteins research
Papers in
-
- Protein Structure and Dynamics 48
- RNA and protein synthesis mechanisms 12
- Glycosylation and Glycoproteins Research 8
- Spectroscopy 18
- Mass Spectrometry Techniques and Applications 9
- Co-authors
- D A GoodenoughDiane J. RodiD. L. D. CasparEsther BullittBenoı̂t RouxSanghyun ParkSichun YangSuneeta Mandava
- Journals
- Journal of Molecular Biology (18 papers)Biophysical Journal (13 papers)Journal of Applied Crystallography (8 papers)Science (4 papers)Biochemistry (4 papers)
- Partner nations
- United StatesFranceIsrael
In The Last Decade
Lee Makowski
137 papers receiving 5.0k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Structural Biology 78
- Molecular Biology 3.4k
- Radiology, Nuclear Medicine and Imaging 747
- Endocrinology 164
- Ecology 807
Countries citing papers authored by Lee Makowski
This map shows the geographic impact of Lee Makowski'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 Lee Makowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lee Makowski more than expected).
Fields of papers citing papers by Lee Makowski
This network shows the impact of papers produced by Lee Makowski. 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 Lee Makowski. The network helps show where Lee Makowski may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lee Makowski, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2022 | 5 | |
| 5 | 2021 | 40 | |
| 6 | Production of synthetic particles of MoS2 using wet chemical synthesis | 2019 | 3 |
| 7 | 2018 | 89 | |
| 8 | 2017 | 19 | |
| 9 | 2017 | 4 | |
| 10 | 2016 | 25 | |
| 11 | 2014 | 50 | |
| 12 | 2011 | 56 | |
| 13 | 2011 | 24 | |
| 14 | 2010 | 51 | |
| 15 | 2010 | 20 | |
| 16 | 2007 | 31 | |
| 17 | 2007 | 81 | |
| 18 | 2006 | 21 | |
| 19 | 1998 | 38 | |
| 20 | 1992 | 38 |
About Lee Makowski
Lee Makowski is a scholar working on Molecular Biology, Spectroscopy, Materials Chemistry, Ecology and Radiology, Nuclear Medicine and Imaging, having authored 141 papers that have together received 5.2k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (48 papers), Enzyme Structure and Function (45 papers), Bacteriophages and microbial interactions (26 papers), Monoclonal and Polyclonal Antibodies Research (20 papers), RNA and protein synthesis mechanisms (12 papers), Advanced Cellulose Research Studies (11 papers), Mass Spectrometry Techniques and Applications (9 papers) and Glycosylation and Glycoproteins Research (8 papers). The work is most often cited by research in Structural Biology (78 citations), Molecular Biology (3.4k citations), Radiology, Nuclear Medicine and Imaging (747 citations), Endocrinology (164 citations) and Ecology (807 citations). Lee Makowski has collaborated with scholars based in United States, France and Israel. Frequent co-authors include D A Goodenough, Diane J. Rodi, D. L. D. Caspar, Esther Bullitt, Benoı̂t Roux, Sanghyun Park, Sichun Yang, Suneeta Mandava, Robert F. Fischetti and Jaydeep P. Bardhan. Their work appears in journals such as Journal of Molecular Biology, Biophysical Journal, Journal of Applied Crystallography, Science and Biochemistry.
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.