Amy C. Willis

770 total citations
13 papers, 559 citations indexed

About

Amy C. Willis is a scholar working on Social Psychology, Oncology and Biotechnology. According to data from OpenAlex, Amy C. Willis has authored 13 papers receiving a total of 559 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Social Psychology, 4 papers in Oncology and 4 papers in Biotechnology. Recurrent topics in Amy C. Willis's work include Cancer Research and Treatments (4 papers), Cancer-related Molecular Pathways (4 papers) and Humor Studies and Applications (3 papers). Amy C. Willis is often cited by papers focused on Cancer Research and Treatments (4 papers), Cancer-related Molecular Pathways (4 papers) and Humor Studies and Applications (3 papers). Amy C. Willis collaborates with scholars based in United States and Canada. Amy C. Willis's co-authors include Xinbin Chen, Eun Joo Jung, Frank W. Wicker, Kent Lai, Louis J. Elsas, James R. Goss, Susan Rogers, Steven M. Silver, Susan E. Nozell and Jianhui Zhu and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Personality and Social Psychology and Oncogene.

In The Last Decade

Amy C. Willis

13 papers receiving 521 citations

Peers

Amy C. Willis

MB

ONCOL

CP

SP

CR

Rachel Carter United Kingdom

Anders Nilsson Sweden

Sandra D. Scherer United States

Mary Ann Rasku United States

Michael J. Cameron United States

Christine Armstrong United Kingdom

Yuka Miyake Japan

Xiaofang Xu China

Hiroki Inui Japan

L Smith United Kingdom

Rachel Carter United Kingdom

Amy C. Willis

403 ×1.6

MB

172 ×0.8

ONCOL

167 ×1.8

CP

28 ×0.3

SP

94 ×1.2

CR

Citations per year, relative to Amy C. Willis Amy C. Willis (= 1×) peers Rachel Carter

Countries citing papers authored by Amy C. Willis

Since Specialization

Citations

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

Fields of papers citing papers by Amy C. Willis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amy C. Willis. 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 Amy C. Willis. The network helps show where Amy C. Willis may publish in the future.

Co-authorship network of co-authors of Amy C. Willis

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

All Works

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13 of 13 papers shown

1.

Smith, Nathan Grant, et al.. (2015). Project PRIDE: A Cognitive-Behavioral Group Intervention to Reduce HIV Risk Behaviors Among HIV-Negative Young Gay and Bisexual Men. Cognitive and Behavioral Practice. 23(3). 398–411. 17 indexed citations

2.

Hart, Trevor, et al.. (2015). Gay Poz Sex: A Sexual Health Promotion Intervention for HIV-Positive Gay and Bisexual Men. Cognitive and Behavioral Practice. 23(4). 517–529. 10 indexed citations

3.

Outlaw, Freida H., et al.. (2010). Treatment Outcomes for Older Adults Who Abuse Substances. Journal of Applied Gerontology. 31(1). 78–100. 17 indexed citations

4.

Willis, Amy C., et al.. (2004). Mutant p53 exerts a dominant negative effect by preventing wild-type p53 from binding to the promoter of its target genes. Oncogene. 23(13). 2330–2338. 244 indexed citations

5.

Chen, Xinbin, Gang Liu, Jianhui Zhu, et al.. (2003). Isolation and Characterization of Fourteen Novel Putative and Nine Known Target Genes of the p53 Family. Cancer Biology & Therapy. 2(1). 56–63. 14 indexed citations

6.

Willis, Amy C., et al.. (2003). p73 can suppress the proliferation of cells that express mutant p53. Oncogene. 22(35). 5481–5495. 23 indexed citations

7.

Dohn, Michael R., Susan E. Nozell, Amy C. Willis, & Xinbin Chen. (2003). Tumor Suppressor Gene-Inducible Cell Lines. Humana Press eBooks. 223. 221–236. 9 indexed citations

8.

Nozell, Susan E., et al.. (2003). Characterization of p73 functional domains necessary for transactivation and growth suppression. Oncogene. 22(28). 4333–4347. 31 indexed citations

9.

Rogers, Susan, et al.. (1999). A Single Session, Group Study of Exposure and Eye Movement Desensitization and Reprocessing in Treating Posttraumatic Stress Disorder Among Vietnam War Veterans. Journal of Anxiety Disorders. 13(1-2). 119–130. 82 indexed citations

10.

Lai, Kent, Amy C. Willis, & Louis J. Elsas. (1999). The Biochemical Role of Glutamine 188 in Human Galactose-1-phosphate Uridyltransferase. Journal of Biological Chemistry. 274(10). 6559–6566. 44 indexed citations

11.

Wicker, Frank W., et al.. (1981). Studies of mood and humor appreciation. Motivation and Emotion. 5(1). 47–59. 8 indexed citations

12.

Wicker, Frank W., et al.. (1980). Disparagement humor: Dispositions and resolutions.. Journal of Personality and Social Psychology. 39(4). 701–709. 4 indexed citations

13.

Wicker, Frank W., et al.. (1980). Disparagement humor: Dispositions and resolutions.. Journal of Personality and Social Psychology. 39(4). 701–709. 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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