N.A. Bakh
Impact in
- Biophysics top 0.5%
- Advanced Fluorescence Microscopy Techniques
- Cell Image Analysis Techniques
- Structural Biology top 5%
Papers in
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- Advanced biosensing and bioanalysis techniques 3
- Receptor Mechanisms and Signaling 2
- Lipid Membrane Structure and Behavior 2
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- Nanoplatforms for cancer theranostics 3
- Co-authors
- Michael S. Strano (15 shared papers)Gili Bisker (6 shared papers)Michael A. Lee (10 shared papers)Kwanghun Chung (2 shared papers)Heejin Choi (2 shared papers)Evan Murray (2 shared papers)Jaehun Cho (2 shared papers)Sung‐Yon Kim (2 shared papers)
- Journals
- Advanced Healthcare Materials (3 papers)ACS Sensors (2 papers)Russian Chemical Reviews (1 paper)Nature Chemistry (1 paper)Cell (1 paper)
- Partner nations
- United StatesIsraelBrazil
In The Last Decade
N.A. Bakh
21 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 113
- Biophysics 343
- Structural Biology 30
- Bioengineering 63
- Biomedical Engineering 415
- Pharmaceutical Science 39
Countries citing papers authored by N.A. Bakh
This map shows the geographic impact of N.A. Bakh'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 N.A. Bakh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N.A. Bakh more than expected).
Fields of papers citing papers by N.A. Bakh
This network shows the impact of papers produced by N.A. Bakh. 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 N.A. Bakh. The network helps show where N.A. Bakh may publish in the future.
Co-authors
The 25 scholars most cited alongside N.A. Bakh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 337 | |
| 2 | 2015 | 169 | |
| 3 | 2015 | 165 | |
| 4 | 2017 | 107 | |
| 5 | 2018 | 82 | |
| 6 | 2020 | 66 | |
| 7 | 2022 | 45 | |
| 8 | 2018 | 40 | |
| 9 | 2016 | 26 | |
| 10 | 2022 | 21 | |
| 11 | 2023 | 21 | |
| 12 | 2021 | 17 | |
| 13 | 2023 | 16 | |
| 14 | 2017 | 13 | |
| 15 | 2020 | 13 | |
| 16 | 1965 | 9 | |
| 17 | 1965 | 2 | |
| 18 | 2023 | 1 | |
| 19 | 2023 | 1 | |
| 20 | 1958 | 1 |
About N.A. Bakh
N.A. Bakh is a scholar working on Molecular Biology, Biomedical Engineering, Bioengineering, Endocrinology, Diabetes and Metabolism and Materials Chemistry, having authored 22 papers that have together received 1.2k indexed citations. Recurring topics across this work include Analytical Chemistry and Sensors (6 papers), Diabetes Management and Research (4 papers), Pancreatic function and diabetes (4 papers), Electrochemical sensors and biosensors (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), Nanoplatforms for cancer theranostics (3 papers), Receptor Mechanisms and Signaling (2 papers) and Lipid Membrane Structure and Behavior (2 papers). The work is most often cited by research in Biophysics (343 citations), Structural Biology (30 citations), Bioengineering (63 citations), Biomedical Engineering (415 citations) and Pharmaceutical Science (39 citations). N.A. Bakh has collaborated with scholars based in United States, Israel and Brazil. Frequent co-authors include Michael S. Strano, Gili Bisker, Michael A. Lee, Kwanghun Chung, Heejin Choi, Evan Murray, Jaehun Cho, Sung‐Yon Kim, Markita P. Landry and Sabrina Feliciano Oliveira. Their work appears in journals such as Advanced Healthcare Materials, ACS Sensors, Russian Chemical Reviews, Nature Chemistry and Cell.
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.