Vivian Utti

1.2k total citations · 1 hit paper
5 papers, 613 citations indexed

About

Vivian Utti is a scholar working on Oncology, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Vivian Utti has authored 5 papers receiving a total of 613 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Oncology, 1 paper in Molecular Biology and 1 paper in Pathology and Forensic Medicine. Recurrent topics in Vivian Utti's work include Cutaneous Melanoma Detection and Management (2 papers), Autoimmune Bullous Skin Diseases (1 paper) and Genomics and Chromatin Dynamics (1 paper). Vivian Utti is often cited by papers focused on Cutaneous Melanoma Detection and Management (2 papers), Autoimmune Bullous Skin Diseases (1 paper) and Genomics and Chromatin Dynamics (1 paper). Vivian Utti collaborates with scholars based in United States, Switzerland and Italy. Vivian Utti's co-authors include Denis Torre, Kathleen M. Jagodnik, Alexander Lachmann, Avi Ma’ayan, Zichen Wang, Eryk Kropiwnicki, Megan L. Wojciechowicz, Alexandra Keenan, Daniel Clarke and Eric Wenger and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Allergy.

In The Last Decade

Vivian Utti

3 papers receiving 612 citations

Hit 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.

ChEA3: transcription factor enrichment analysis by orthogonal omics integration

2019 595 citations Alexandra Keenan, Denis Torre et al. Nucleic Acids Research profile →

Peers

Vivian Utti

MB

IMMUN

CR

ONCOL

PRM

Jayanth Krishnan United States

Xiao Cao United States

Monika Deshpande United States

Rie Kinoshita Japan

Xiangyang Xiong China

Candida Zuchegna Italy

Seda Eminaga United States

Aneesha Radhakrishnan India

Elizabeth Tuck United Kingdom

Jayanth Krishnan United States

Vivian Utti

541 ×1.5

MB

81 ×0.7

IMMUN

135 ×1.3

CR

79 ×1.2

ONCOL

57 ×0.9

PRM

Citations per year, relative to Vivian Utti Vivian Utti (= 1×) peers Jayanth Krishnan

Countries citing papers authored by Vivian Utti

Since Specialization

Citations

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

Fields of papers citing papers by Vivian Utti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vivian Utti

This figure shows the co-authorship network connecting the top 25 collaborators of Vivian Utti. A scholar is included among the top collaborators of Vivian Utti 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 Vivian Utti. Vivian Utti 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.

Utti, Vivian, et al.. (2025). Artificial Intelligence in Dermatology Research and Drug Discovery. Dermatologic Clinics. 43(4). 573–583.

2.

Utti, Vivian, Vasiliki Bikia, Ashok Agarwal, & Roxana Daneshjou. (2025). Integrating Artificial Intelligence in Dermatological Cancer Screening and Diagnosis: Efficacy, Challenges, and Future Directions. PubMed. 8(1). 591–603.

3.

Duca, Ester Del, Jonathan Bar, Joel Corrêa da Rosa, et al.. (2024). Transcriptomic evaluation of skin tape‐strips in children with allergic asthma uncovers epidermal barrier dysfunction and asthma‐associated biomarkers abnormalities. Allergy. 79(6). 1516–1530. 4 indexed citations

4.

Evangelista, John Erol, Daniel Clarke, Zhuorui Xie, et al.. (2023). Toxicology knowledge graph for structural birth defects. SHILAP Revista de lepidopterología. 3(1). 98–98. 14 indexed citations

5.

Keenan, Alexandra, Denis Torre, Alexander Lachmann, et al.. (2019). ChEA3: transcription factor enrichment analysis by orthogonal omics integration. Nucleic Acids Research. 47(W1). W212–W224. 595 indexed citations breakdown →

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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