Veronica Juan

773 total citations
9 papers, 359 citations indexed

About

Veronica Juan is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Genetics. According to data from OpenAlex, Veronica Juan has authored 9 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Genetics. Recurrent topics in Veronica Juan's work include Monoclonal and Polyclonal Antibodies Research (6 papers), Glycosylation and Glycoproteins Research (3 papers) and RNA modifications and cancer (2 papers). Veronica Juan is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (6 papers), Glycosylation and Glycoproteins Research (3 papers) and RNA modifications and cancer (2 papers). Veronica Juan collaborates with scholars based in United States, Czechia and Germany. Veronica Juan's co-authors include Charles B. Wilson, Laurence Fayadat‐Dilman, Danny A. Bitton, David Příhoda, Andrew B. Waight, Daniel Svozil, Jad Maamary, Keith E. Wilson, Yoshiko Akamatsu and Robert B. DuBridge and has published in prestigious journals such as Nucleic Acids Research, The Journal of Immunology and Journal of Molecular Biology.

In The Last Decade

Veronica Juan

8 papers receiving 342 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Veronica Juan United States	8	286	163	63	55	36	9	359
Arvia E. Morris United States	10	295 1.0×	112 0.7×	112 1.8×	18 0.3×	83 2.3×	15	437
Dethardt Müller Austria	10	396 1.4×	127 0.8×	31 0.5×	23 0.4×	86 2.4×	16	476
Joseph R. McGill United States	10	266 0.9×	40 0.2×	50 0.8×	24 0.4×	69 1.9×	18	350
Charles Steinberg United States	8	193 0.7×	67 0.4×	144 2.3×	41 0.7×	48 1.3×	14	356
А. Г. Габибов Russia	10	160 0.6×	150 0.9×	101 1.6×	6 0.1×	40 1.1×	30	332
Felix Unverdorben Germany	8	147 0.5×	137 0.8×	50 0.8×	6 0.1×	24 0.7×	11	240
Artur A. Serebrenik United States	12	258 0.9×	68 0.4×	41 0.7×	64 1.2×	50 1.4×	21	416
Christine Lattenmayer Austria	8	346 1.2×	122 0.7×	24 0.4×	10 0.2×	93 2.6×	9	401
Michaela Strotbek Germany	9	280 1.0×	27 0.2×	39 0.6×	148 2.7×	28 0.8×	9	335
Evelyn Trummer Austria	9	367 1.3×	122 0.7×	24 0.4×	10 0.2×	106 2.9×	10	422

Countries citing papers authored by Veronica Juan

Since Specialization

Citations

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

Fields of papers citing papers by Veronica Juan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Veronica Juan. 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 Veronica Juan. The network helps show where Veronica Juan may publish in the future.

Co-authorship network of co-authors of Veronica Juan

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

All Works

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9 of 9 papers shown

Tang, Tiffany, Yixiao Zhang, Aditya Gopalan, et al.. (2025). Fragmentation of recombinant human interleukin-12 by matriptase in CHO cell culture. Journal of Biotechnology. 404. 112–120.

Guelen, Lars, D. Lutje Hulsik, Edward J. Hsieh, et al.. (2023). Epitope mapping of monoclonal antibodies: a comprehensive comparison of different technologies. mAbs. 15(1). 2285285–2285285. 17 indexed citations

Příhoda, David, Jad Maamary, Andrew B. Waight, et al.. (2022). BioPhi: A platform for antibody design, humanization, and humanness evaluation based on natural antibody repertoires and deep learning. mAbs. 14(1). 2020203–2020203. 108 indexed citations

Lai, Pin‐Kuang, et al.. (2021). Differences in human IgG1 and IgG4 S228P monoclonal antibodies viscosity and self-interactions: Experimental assessment and computational predictions of domain interactions. mAbs. 13(1). 1991256–1991256. 23 indexed citations

Tabrizi, Mohammad, Harish Shankaran, Veronica Juan, et al.. (2019). Pharmacokinetic Properties of Humanized IgG1 and IgG4 Antibodies in Preclinical Species: Translational Evaluation. The AAPS Journal. 21(3). 39–39. 10 indexed citations

Forsyth, C.M., Veronica Juan, Yoshiko Akamatsu, et al.. (2013). Deep mutational scanning of an antibody against epidermal growth factor receptor using mammalian cell display and massively parallel pyrosequencing. mAbs. 5(4). 523–532. 49 indexed citations

Juan, Veronica, Alexander V. Ivanov, David B. Powers, et al.. (2012). Affinity and Cross-Reactivity Engineering of CTLA4-Ig To Modulate T Cell Costimulation. The Journal of Immunology. 189(9). 4470–4477. 19 indexed citations

Juan, Veronica. (2000). Evidence for evolutionarily conserved secondary structure in the H19 tumor suppressor RNA. Nucleic Acids Research. 28(5). 1221–1227. 77 indexed citations

Juan, Veronica & Charles B. Wilson. (1999). RNA Secondary Structure Prediction Based on Free Energy and Phylogenetic Analysis. Journal of Molecular Biology. 289(4). 935–947. 56 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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