Audun Utengen

673 total citations
18 papers, 460 citations indexed

About

Audun Utengen is a scholar working on Health, General Health Professions and Sociology and Political Science. According to data from OpenAlex, Audun Utengen has authored 18 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Health, 8 papers in General Health Professions and 3 papers in Sociology and Political Science. Recurrent topics in Audun Utengen's work include Social Media in Health Education (13 papers), Health Literacy and Information Accessibility (7 papers) and Viral-associated cancers and disorders (2 papers). Audun Utengen is often cited by papers focused on Social Media in Health Education (13 papers), Health Literacy and Information Accessibility (7 papers) and Viral-associated cancers and disorders (2 papers). Audun Utengen collaborates with scholars based in United States, Canada and France. Audun Utengen's co-authors include Michael A. Thompson, Deanna J. Attai, Matthew S. Katz, Don S. Dizon, Patricia F Anderson, Claire Johnston, Larry F. Chu, Naveen Pemmaraju, Vikas Gupta and Kevin A. Clauson and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and European Heart Journal.

In The Last Decade

Audun Utengen

18 papers receiving 456 citations

Peers

Audun Utengen

HEALT

GHP

SPS

ONCOL

Tejas Desai United States

Lee Aase United States

Michael S. Cowher United States

Edin Smailhodžić Netherlands

Hiroto Narimatsu Japan

Afreen Shariff United States

Claire Johnston United Kingdom

Brian Stork United States

Grant Cumming United Kingdom

Crystale Purvis Cooper United States

Tejas Desai United States

Audun Utengen

318 ×1.1

HEALT

394 ×1.6

GHP

75 ×0.8

SPS

67 ×1.1

20 ×0.4

ONCOL

Citations per year, relative to Audun Utengen Audun Utengen (= 1×) peers Tejas Desai

Countries citing papers authored by Audun Utengen

Since Specialization

Citations

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

Fields of papers citing papers by Audun Utengen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Audun Utengen

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

All Works

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18 of 18 papers shown

Utengen, Audun, Deanna J. Attai, Emily K. Drake, et al.. (2022). Social Media and Professional Development for Oncology Professionals. JCO Oncology Practice. 18(8). 566–571. 10 indexed citations

Utengen, Audun, Deanna J. Attai, Emily K. Drake, et al.. (2022). Social Media and Professional Development for Oncology Professionals.. PubMed. 18(8). 566–571. 7 indexed citations

Silva, Lucas Oliveira J. e, et al.. (2021). Evaluating Scholars’ Impact and Influence: Cross-sectional Study of the Correlation Between a Novel Social Media–Based Score and an Author-Level Citation Metric. Journal of Medical Internet Research. 23(5). e28859–e28859. 13 indexed citations

Burgos, Lucrecia María, et al.. (2020). Use of Twitter during COVID-19 pandemic: An opportunity for continuing medical education in cardiology.. PubMed. 80 Suppl 6. 122–123. 5 indexed citations

Thamman, Ritu, Martha Gulati, Akhil Narang, et al.. (2020). Twitter-based learning for continuing medical education?. European Heart Journal. 41(46). 4376–4379. 42 indexed citations

Schwenk, Eric S., et al.. (2019). I Tweet, Therefore I Learn: An Analysis of Twitter Use Across Anesthesiology Conferences. Anesthesia & Analgesia. 130(2). 333–340. 27 indexed citations

Katz, Matthew S., Patricia F Anderson, Michael A. Thompson, et al.. (2019). Organizing Online Health Content: Developing Hashtag Collections for Healthier Internet-Based People and Communities. JCO Clinical Cancer Informatics. 1–10. 27 indexed citations

Thomas, Teresa Hagan, Michael A. Thompson, Deanna J. Attai, et al.. (2018). The Needs of Women Treated for Ovarian Cancer: Results From a #gyncsm Twitter Chat. SHILAP Revista de lepidopterología. 5(2). 149–157. 13 indexed citations

Pemmaraju, Naveen, Audun Utengen, Vikas Gupta, Michael A. Thompson, & Andrew A. Lane. (2018). Blastic Plasmacytoid Dendritic Cell Neoplasm (BPDCN) on Social Media: #BPDCN—Increasing Exposure over Two Years Since Inception of a Disease-Specific Twitter Community. Current Hematologic Malignancy Reports. 13(6). 581–587. 11 indexed citations

10.

Utengen, Audun, Francisco J Grajales, Nisha Pradhan, et al.. (2017). Patient Participation at Health Care Conferences: Engaged Patients Increase Information Flow, Expand Propagation, and Deepen Engagement in the Conversation of Tweets Compared to Physicians or Researchers. Journal of Medical Internet Research. 19(8). e280–e280. 21 indexed citations

11.

Pemmaraju, Naveen, Audun Utengen, Vikas Gupta, et al.. (2017). Rare Cancers and Social Media: Analysis of Twitter Metrics in the First 2 Years of a Rare-Disease Community for Myeloproliferative Neoplasms on Social Media—#MPNSM. Current Hematologic Malignancy Reports. 12(6). 598–604. 20 indexed citations

12.

Pemmaraju, Naveen, Audun Utengen, Vikas Gupta, Michael A. Thompson, & Andrew A. Lane. (2017). Analysis of First-Year Twitter Metrics of a Rare Disease Community for Blastic Plasmacytoid Dendritic Cell Neoplasm (BPDCN) on Social Media: #BPDCN. Current Hematologic Malignancy Reports. 12(6). 592–597. 13 indexed citations

13.

Attai, Deanna J., Patricia F Anderson, Michael Fisch, et al.. (2017). Risks and benefits of Twitter use by hematologists/oncologists in the era of digital medicine. Seminars in Hematology. 54(4). 198–204. 27 indexed citations

14.

Pemmaraju, Naveen, Audun Utengen, Vikas Gupta, et al.. (2016). Social Media and Myeloproliferative Neoplasms (MPN): Analysis of Advanced Metrics From the First Year of a New Twitter Community: #MPNSM. Current Hematologic Malignancy Reports. 11(6). 456–461. 18 indexed citations

15.

Chu, Larry F., et al.. (2016). “Nothing about us without us”—patient partnership in medical conferences. BMJ. 354. i3883–i3883. 59 indexed citations

16.

Attai, Deanna J., Mina S. Sedrak, Matthew S. Katz, et al.. (2016). Social Media in Cancer Care: Highlights, Challenges & Opportunities. Future Oncology. 12(13). 1549–1552. 33 indexed citations

17.

Katz, Matthew S., Audun Utengen, Patricia F Anderson, et al.. (2015). Disease-Specific Hashtags for Online Communication About Cancer Care. JAMA Oncology. 2(3). 392–392. 84 indexed citations

18.

Katz, Matthew S., Audun Utengen, Patricia F Anderson, et al.. (2015). Disease-specific hashtags for online communication about cancer care.. Journal of Clinical Oncology. 33(15_suppl). 6520–6520. 30 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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