Eric R. Tkaczyk

1.3k total citations
69 papers, 624 citations indexed

About

Eric R. Tkaczyk is a scholar working on Molecular Biology, Oncology and Dermatology. According to data from OpenAlex, Eric R. Tkaczyk has authored 69 papers receiving a total of 624 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 16 papers in Oncology and 15 papers in Dermatology. Recurrent topics in Eric R. Tkaczyk's work include Advanced Fluorescence Microscopy Techniques (13 papers), Hematopoietic Stem Cell Transplantation (13 papers) and Single-cell and spatial transcriptomics (8 papers). Eric R. Tkaczyk is often cited by papers focused on Advanced Fluorescence Microscopy Techniques (13 papers), Hematopoietic Stem Cell Transplantation (13 papers) and Single-cell and spatial transcriptomics (8 papers). Eric R. Tkaczyk collaborates with scholars based in United States, Estonia and Latvia. Eric R. Tkaczyk's co-authors include Alan H. Tkaczyk, Theodore B. Norris, Jing Yong Ye, Heidi Chen, Fuyao Chen, Zhengyi Cao, James R. Baker, Thommey P. Thomas, Arved Vain and Madan Jagasia and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Biochemical and Biophysical Research Communications.

In The Last Decade

Eric R. Tkaczyk

63 papers receiving 603 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Eric R. Tkaczyk United States 13 173 167 159 106 88 69 624
Yi‐Shing Lisa Cheng United States 20 275 1.6× 140 0.8× 218 1.4× 163 1.5× 20 0.2× 56 1.2k
Martin Kräter Germany 17 222 1.3× 155 0.9× 436 2.7× 103 1.0× 12 0.1× 37 1.0k
Judit Oláh Hungary 15 169 1.0× 365 2.2× 108 0.7× 46 0.4× 128 1.5× 54 718
Moinuddin Hassan United States 18 217 1.3× 115 0.7× 412 2.6× 154 1.5× 13 0.1× 60 914
Jerry Chao United States 16 734 4.2× 191 1.1× 264 1.7× 523 4.9× 66 0.8× 61 1.6k
Serena Sestini Italy 19 146 0.8× 463 2.8× 201 1.3× 187 1.8× 271 3.1× 53 940
Ekkehard Hewer Switzerland 18 169 1.0× 63 0.4× 155 1.0× 42 0.4× 5 0.1× 76 907
Sumaira Z. Aasi United States 24 563 3.3× 411 2.5× 123 0.8× 43 0.4× 469 5.3× 65 1.4k
Mary L. Stevenson United States 15 91 0.5× 275 1.6× 32 0.2× 23 0.2× 227 2.6× 56 692
Torsten W. Remmerbach Germany 16 134 0.8× 172 1.0× 172 1.1× 38 0.4× 52 0.6× 34 931

Countries citing papers authored by Eric R. Tkaczyk

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Eric R. Tkaczyk

This figure shows the co-authorship network connecting the top 25 collaborators of Eric R. Tkaczyk. A scholar is included among the top collaborators of Eric R. Tkaczyk 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 Eric R. Tkaczyk. Eric R. Tkaczyk 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
1.
Farhadfar, Nosha, Najla El Jurdi, Heidi Chen, et al.. (2025). Reproducibility and repeatability of the Myoton to quantify sclerotic chronic graft-versus-host disease. Blood Advances. 10(4). 1145–1152.
2.
Ogien, Jonas, et al.. (2024). Blood Flow Velocity in Skin Microvasculature by Line-Field Confocal Optical Coherence Tomography (LC-OCT) at Two Different Acquisition Speeds. SPIRE - Sciences Po Institutional REpository. MS5A.2–MS5A.2.
3.
Baumrin, Emily, Michael Byrne, Paul J. Martin, et al.. (2023). Prognostic Value of Cutaneous Disease Severity Estimates on Survival Outcomes in Patients With Chronic Graft-vs-Host Disease. JAMA Dermatology. 159(4). 393–393. 7 indexed citations
4.
Zhang, Kathy, et al.. (2023). Hyperspectral imaging to accurately segment skin erythema and hyperpigmentation in cutaneous chronic graft‐versus‐host disease. Journal of Biophotonics. 16(7). e202300009–e202300009. 7 indexed citations
5.
Phillips, Catherine H., et al.. (2023). Rapid handheld measurements of skin and subcutaneous tissue stiffness in systemic sclerosis. Lara D. Veeken. 63(1). e17–e19. 1 indexed citations
6.
7.
Chen, Fuyao, Arved Vain, Kathy Zhang, et al.. (2023). Interrater reproducibility of the Myoton and durometer devices to quantify sclerotic chronic graft-versus-host disease. Archives of Dermatological Research. 315(9). 2545–2554. 7 indexed citations
8.
Chen, Heidi, et al.. (2022). Non-Expert Markings of Active Chronic Graft-Versus-Host Disease Photographs: Optimal Metrics of Training Effects. Journal of Digital Imaging. 36(1). 373–378. 2 indexed citations
9.
Chen, Fuyao, et al.. (2021). Optimal Biomechanical Parameters for Measuring Sclerotic Chronic Graft-Versus-Host Disease. CORROSION. 1(3). 100037–100037. 8 indexed citations
10.
Tkaczyk, Eric R., et al.. (2021). Methods to Assess Disease Activity and Severity in Cutaneous Chronic Graft-versus-Host Disease: A Critical Literature Review. Transplantation and Cellular Therapy. 27(9). 738–746. 8 indexed citations
11.
Byrne, Michael, et al.. (2020). 434 Association of skin response in erythema and sclerosis with survival in chronic graft-versus-host disease. Journal of Investigative Dermatology. 140(7). S57–S57. 2 indexed citations
12.
Chen, Fuyao, et al.. (2020). 867 Direct mechanical measurements of skin to quantify evolution of sclerotic disease. Journal of Investigative Dermatology. 140(7). S113–S113.
13.
Zic, John A., Anna K. Dewan, Stephanie J. Lee, et al.. (2018). The Anatomic Distribution of Skin Involvement in Patients with Incident Chronic Graft-versus-Host Disease. Biology of Blood and Marrow Transplantation. 25(2). 279–286. 8 indexed citations
14.
Tkaczyk, Eric R.. (2017). Innovations and Developments in Dermatologic Non-invasive Optical Imaging and Potential Clinical Applications. Acta Dermato Venereologica. Suppl 218. 0–0. 33 indexed citations
15.
Tkaczyk, Eric R., Koit Mauring, & Alan H. Tkaczyk. (2012). Gaussian beam reflection and refraction by a spherical or parabolic surface: comparison of vectorial-law calculation with lens approximation. Journal of the Optical Society of America A. 29(10). 2144–2144. 2 indexed citations
16.
Tkaczyk, Eric R., et al.. (2011). Cataract diagnosis by measurement of backscattered light. Optics Letters. 36(23). 4707–4707. 1 indexed citations
17.
Tkaczyk, Eric R., Alan H. Tkaczyk, Koit Mauring, et al.. (2009). Quantitative differentiation of dyes with overlapping one-photon spectra by femtosecond pulse-shaping. Journal of Luminescence. 130(1). 29–34. 3 indexed citations
18.
Chang, Yu-Chung, Jing Yong Ye, Thommey P. Thomas, et al.. (2009). Two-photon in vivo flow cytometry using a fiber probe. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7173. 71730I–71730I. 2 indexed citations
19.
Tkaczyk, Eric R., Koit Mauring, Alan H. Tkaczyk, et al.. (2008). Control of the blue fluorescent protein with advanced evolutionary pulse shaping. Biochemical and Biophysical Research Communications. 376(4). 733–737. 10 indexed citations
20.
Tkaczyk, Alan H., et al.. (2005). Vibrations‐determined properties of green fluorescent protein. Biopolymers. 78(3). 140–146. 3 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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