Eric R. Tkaczyk
Impact in
- Biophysics top 5%
- Advanced Fluorescence Microscopy Techniques
- Cell Image Analysis Techniques
- Health Informatics top 10%
Papers in
-
- Single-cell and spatial transcriptomics 7
- Biophysics 15
- Advanced Fluorescence Microscopy Techniques 13
- Cell Image Analysis Techniques 6
- Co-authors
- Alan H. Tkaczyk (10 shared papers)Theodore B. Norris (14 shared papers)Jing Yong Ye (13 shared papers)Heidi Chen (10 shared papers)Thommey P. Thomas (6 shared papers)Fuyao Chen (8 shared papers)Zhengyi Cao (5 shared papers)James R. Baker (9 shared papers)
- Journals
- Journal of Investigative Dermatology (4 papers)JAMA Dermatology (4 papers)Journal of Biomedical Optics (4 papers)Blood (3 papers)Optics Letters (3 papers)
- Partner nations
- United StatesEstoniaLatvia
In The Last Decade
Eric R. Tkaczyk
63 papers receiving 649 citations
Peers
Comparison fields: 5 of 118
- Biophysics 109
- Health Informatics 20
- Dermatology 69
- Oncology 153
- Hematology 36
Countries citing papers authored by Eric R. Tkaczyk
This map shows the geographic impact of Eric R. Tkaczyk'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 Eric R. Tkaczyk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric R. Tkaczyk more than expected).
Fields of papers citing papers by Eric R. Tkaczyk
This network shows the impact of papers produced by Eric R. Tkaczyk. 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 Eric R. Tkaczyk. The network helps show where Eric R. Tkaczyk may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric R. Tkaczyk, 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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 105 | |
| 2 | 2016 | 43 | |
| 3 | 2009 | 42 | |
| 4 | 2018 | 38 | |
| 5 | 2017 | 36 | |
| 6 | 2019 | 33 | |
| 7 | 2007 | 31 | |
| 8 | 2010 | 27 | |
| 9 | 2008 | 26 | |
| 10 | 2011 | 23 | |
| 11 | 2022 | 17 | |
| 12 | 2012 | 16 | |
| 13 | 2010 | 12 | |
| 14 | 2008 | 12 | |
| 15 | 2020 | 12 | |
| 16 | 2019 | 9 | |
| 17 | 2008 | 9 | |
| 18 | 2021 | 9 | |
| 19 | 2008 | 9 | |
| 20 | 2023 | 9 |
About Eric R. Tkaczyk
Eric R. Tkaczyk is a scholar working on Molecular Biology, Biophysics, Biomedical Engineering, Dermatology and Hematology, having authored 70 papers that have together received 672 indexed citations. Recurring topics across this work include Advanced Fluorescence Microscopy Techniques (13 papers), Hematopoietic Stem Cell Transplantation (10 papers), Single-cell and spatial transcriptomics (7 papers), Cutaneous Melanoma Detection and Management (6 papers), Cell Image Analysis Techniques (6 papers), Systemic Sclerosis and Related Diseases (6 papers), Optical Coherence Tomography Applications (5 papers) and Photoacoustic and Ultrasonic Imaging (4 papers). The work is most often cited by research in Biophysics (109 citations), Health Informatics (20 citations), Dermatology (69 citations), Oncology (153 citations) and Hematology (36 citations). Eric R. Tkaczyk has collaborated with scholars based in United States, Estonia and Latvia. Frequent co-authors include Alan H. Tkaczyk, Theodore B. Norris, Jing Yong Ye, Heidi Chen, Thommey P. Thomas, Fuyao Chen, Zhengyi Cao, James R. Baker, Madan Jagasia and Arved Vain. Their work appears in journals such as Journal of Investigative Dermatology, JAMA Dermatology, Journal of Biomedical Optics, Blood and Optics Letters.
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.