John P. Trasatti

804 total citations · 1 hit paper
5 papers, 606 citations indexed

About

John P. Trasatti is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, John P. Trasatti has authored 5 papers receiving a total of 606 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Biomedical Engineering. Recurrent topics in John P. Trasatti's work include Viral Infectious Diseases and Gene Expression in Insects (2 papers), 3D Printing in Biomedical Research (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). John P. Trasatti is often cited by papers focused on Viral Infectious Diseases and Gene Expression in Insects (2 papers), 3D Printing in Biomedical Research (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). John P. Trasatti collaborates with scholars based in United States and France. John P. Trasatti's co-authors include Pankaj Karande, Gurtej Singh, Seung‐Schik Yoo, Guohao Dai, Chris S. Bjornsson, Vivian Lee, Thanh Nga Tran, Xiawei Xu, Shikha Nangia and Flaviyan Jerome Irudayanathan and has published in prestigious journals such as The Journal of Physical Chemistry B, Biotechnology Progress and Journal of Chemical Technology & Biotechnology.

In The Last Decade

John P. Trasatti

5 papers receiving 590 citations

Hit Papers

1 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Design and Fabrication of Human Skin by Three-Dimensional Bioprinting

2013 544 citations Vivian Lee, Gurtej Singh et al. Tissue Engineering Part C Methods profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John P. Trasatti United States	4	487	290	132	91	89	5	606
Shivesh Anand Netherlands	11	473 1.0×	226 0.8×	95 0.7×	140 1.5×	26 0.3×	17	658
Jiayi Peng China	9	482 1.0×	264 0.9×	170 1.3×	73 0.8×	12 0.1×	19	795
Masoumeh Ghaderi United States	6	704 1.4×	160 0.6×	156 1.2×	92 1.0×	36 0.4×	6	833
Léa Pourchet France	7	356 0.7×	175 0.6×	98 0.7×	104 1.1×	56 0.6×	9	467
Lawrence J. Liew Australia	10	380 0.8×	221 0.8×	44 0.3×	97 1.1×	15 0.2×	13	567
Yasamin A. Jodat United States	9	435 0.9×	146 0.5×	101 0.8×	107 1.2×	13 0.1×	11	561
Stephanie Stoelting Germany	6	309 0.6×	178 0.6×	132 1.0×	42 0.5×	23 0.3×	9	461
Justin Bourke Australia	9	400 0.8×	184 0.6×	87 0.7×	79 0.9×	14 0.2×	10	511
Michael Glinka United Kingdom	9	511 1.0×	261 0.9×	224 1.7×	94 1.0×	8 0.1×	13	758
Samuel R. Moxon United Kingdom	7	338 0.7×	140 0.5×	81 0.6×	104 1.1×	9 0.1×	14	453

Countries citing papers authored by John P. Trasatti

Since Specialization

Citations

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

Fields of papers citing papers by John P. Trasatti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John P. Trasatti. 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 John P. Trasatti. The network helps show where John P. Trasatti may publish in the future.

Co-authorship network of co-authors of John P. Trasatti

This figure shows the co-authorship network connecting the top 25 collaborators of John P. Trasatti. A scholar is included among the top collaborators of John P. Trasatti 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 John P. Trasatti. John P. Trasatti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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5 of 5 papers shown

1.

Chandra, Divya, et al.. (2019). Design of peptide ligands for affinity purification of human growth hormone. Journal of Chemical Technology & Biotechnology. 94(7). 2345–2354. 8 indexed citations

2.

Trasatti, John P., et al.. (2018). Rational design of peptide affinity ligands for the purification of therapeutic enzymes. Biotechnology Progress. 34(4). 987–998. 7 indexed citations

3.

Irudayanathan, Flaviyan Jerome, John P. Trasatti, Pankaj Karande, & Shikha Nangia. (2015). Molecular Architecture of the Blood Brain Barrier Tight Junction Proteins–A Synergistic Computational and In Vitro Approach. The Journal of Physical Chemistry B. 120(1). 77–88. 46 indexed citations

4.

Lee, Vivian, Gurtej Singh, John P. Trasatti, et al.. (2013). Design and Fabrication of Human Skin by Three-Dimensional Bioprinting. Tissue Engineering Part C Methods. 20(6). 473–484. 544 indexed citations breakdown →

5.

Singh, Gurtej, Vivian Lee, John P. Trasatti, et al.. (2011). Development of an immunocompetent human skin tissue model using three dimensional (3D) freeform fabrication. 105. 1–2. 1 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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