Michael S. Feld

48.6k total citations · 13 hit papers
436 papers, 36.8k citations indexed

About

Michael S. Feld is a scholar working on Atomic and Molecular Physics, and Optics, Biophysics and Biomedical Engineering. According to data from OpenAlex, Michael S. Feld has authored 436 papers receiving a total of 36.8k indexed citations (citations by other indexed papers that have themselves been cited), including 140 papers in Atomic and Molecular Physics, and Optics, 139 papers in Biophysics and 121 papers in Biomedical Engineering. Recurrent topics in Michael S. Feld's work include Spectroscopy Techniques in Biomedical and Chemical Research (109 papers), Optical Imaging and Spectroscopy Techniques (92 papers) and Spectroscopy and Chemometric Analyses (58 papers). Michael S. Feld is often cited by papers focused on Spectroscopy Techniques in Biomedical and Chemical Research (109 papers), Optical Imaging and Spectroscopy Techniques (92 papers) and Spectroscopy and Chemometric Analyses (58 papers). Michael S. Feld collaborates with scholars based in United States, Germany and South Korea. Michael S. Feld's co-authors include Ramachandra R. Dasari, Irving Itzkan, Katrin Kneipp, Harald Kneipp, Lev T. Perelman, Kamran Badizadegan, Yang Wang, Gabriel Popescu, Wonshik Choi and Ramasamy Manoharan and has published in prestigious journals such as Nature, Science and Chemical Reviews.

In The Last Decade

Michael S. Feld

418 papers receiving 35.4k citations

Hit Papers

Single Molecule Detection... 1973 2026 1990 2008 1997 1999 2002 2007 2000 1000 2.0k 3.0k 4.0k 5.0k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Michael S. Feld 15.0k 12.0k 11.6k 8.8k 5.5k 436 36.8k
Ramachandra R. Dasari 12.4k 0.8× 7.3k 0.6× 8.6k 0.7× 9.1k 1.0× 5.3k 1.0× 228 25.7k
Jürgen Popp 11.5k 0.8× 2.6k 0.2× 14.4k 1.2× 6.9k 0.8× 8.3k 1.5× 1.1k 36.0k
Ji‐Xin Cheng 7.8k 0.5× 2.0k 0.2× 9.0k 0.8× 3.3k 0.4× 6.7k 1.2× 398 24.2k
R. R. Alfano 6.8k 0.5× 8.7k 0.7× 3.4k 0.3× 1.3k 0.2× 1.6k 0.3× 792 19.4k
Lihong V. Wang 57.7k 3.8× 3.2k 0.3× 4.6k 0.4× 4.2k 0.5× 5.4k 1.0× 1.3k 74.3k
Irving Itzkan 7.3k 0.5× 1.5k 0.1× 3.7k 0.3× 7.9k 0.9× 3.5k 0.6× 116 14.1k
X. Sunney Xie 6.2k 0.4× 4.5k 0.4× 14.7k 1.3× 1.7k 0.2× 10.8k 2.0× 184 27.9k
Tuan Vo‐Dinh 10.5k 0.7× 990 0.1× 2.8k 0.2× 8.3k 0.9× 6.7k 1.2× 561 19.2k
Satoshi Kawata 15.7k 1.0× 6.4k 0.5× 4.7k 0.4× 6.7k 0.8× 2.8k 0.5× 409 23.6k
Enrico Gratton 9.4k 0.6× 5.2k 0.4× 9.7k 0.8× 478 0.1× 20.7k 3.8× 723 40.5k

Countries citing papers authored by Michael S. Feld

Since Specialization
Citations

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

Fields of papers citing papers by Michael S. Feld

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael S. Feld

This figure shows the co-authorship network connecting the top 25 collaborators of Michael S. Feld. A scholar is included among the top collaborators of Michael S. Feld based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael S. Feld. Michael S. Feld is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Perelman, Lev T., et al.. (2022). Photon Paths in Turbid Media: Theory and Experimental Observation. 4. TRBSDI.153–TRBSDI.153.
3.
4.
Park, YongKeun, Catherine Best‐Popescu, Tatiana Kuriabova, et al.. (2011). Measurement of the nonlinear elasticity of red blood cell membranes. DSpace@MIT (Massachusetts Institute of Technology). 1 indexed citations
5.
Sung, Yongjin, Wonshik Choi, Christopher Fang‐Yen, et al.. (2009). Optical diffraction tomography for high resolution live cell imaging. Optics Express. 17(1). 266–266. 442 indexed citations breakdown →
6.
Choi, Wonshik, Christopher Fang‐Yen, Kamran Badizadegan, et al.. (2007). Tomographic phase microscopy. Nature Methods. 4(9). 717–719. 723 indexed citations breakdown →
7.
Bechtel, Kate L., Abigail S. Haka, Wei‐Chuan Shih, et al.. (2007). Determination of uncertainty in parameters extracted from single spectroscopic measurements. Journal of Biomedical Optics. 12(6). 64012–64012. 26 indexed citations
8.
Fang‐Yen, Christopher, et al.. (2006). Observation of Multiple Thresholds in the Cavity QED Microlaser. Physical Review A. 73.
9.
Angheloiu, George O., Irene Georgakoudi, Abigail S. Haka, et al.. (2003). Intrinsic fluorescence accurately identifies coronary plaques with superficial foam cells and high content of proteoglycans and smooth muscle cells. Journal of the American College of Cardiology. 41(6). 42–43. 1 indexed citations
10.
Haka, Abigail S., Karen Shafer‐Peltier, Maryann Fitzmaurice, et al.. (2002). Identifying microcalcifications in benign and malignant breast lesions by probing differences in their chemical composition using Raman spectroscopy.. PubMed. 62(18). 5375–80. 254 indexed citations
11.
Angheloiu, George O., Joseph Arendt, Irene Georgakoudi, et al.. (2002). Diagnosing coronary atherosclerosis using intrinsic fluorescence and reflectance. Journal of the American College of Cardiology. 39. 45–45. 1 indexed citations
12.
Kneipp, Katrin, Yang Wang, Harald Kneipp, et al.. (1997). Single Molecule Detection Using Surface-Enhanced Raman Scattering (SERS). Physical Review Letters. 78(9). 1667–1670. 5563 indexed citations breakdown →
13.
Feld, Michael S., Ramasamy Manoharan, Juha Salenius, et al.. (1995). <title>Detection and characterization of human tissue lesions with near-infrared Raman spectroscopy</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2388. 99–104. 40 indexed citations
14.
Feld, Michael S., et al.. (1989). Multipixel in vivo imaging of coronary arteries. Conference on Lasers and Electro-Optics. 1 indexed citations
15.
Feld, Michael S., J. E. Thomas, & A. Mooradian. (1989). Laser spectroscopy IX : proceedings of the Ninth International Conference on Laser Spectroscopy, Bretton Woods, New Hampshire, June 18-23, 1989. Academic Press eBooks. 1 indexed citations
16.
Richards‐Kortum, Rebecca, Arnav Mehta, Gary B. Hayes, et al.. (1988). Role of collection geometry in spectral diagnosis of atherosclerosis. Conference on Lasers and Electro-Optics. 1 indexed citations
17.
Feld, Michael S., et al.. (1987). Coronary sinus rupture complicating catheter ablation of the atrioventricular junction. 1(3). 257–260. 1 indexed citations
18.
Richards‐Kortum, Rebecca, et al.. (1987). Real-time determination of artery wall composition and control of laser ablation using laser-induced fluorescence. Conference on Lasers and Electro-Optics. 2 indexed citations
19.
Feld, Michael S., V. S. Letokhov, & F. Biraben. (1980). Coherent nonlinear optics : recent advances. Springer eBooks. 17 indexed citations
20.
Feld, Michael S., A. Javan, & N. A. Kurnit. (1973). Fundamental and applied laser physics : proceedings of the Esfahan Symposium, August 29 to September 5, 1971. Wiley eBooks. 2 indexed citations

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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