Diane Tokugawa

1.2k total citations
15 papers, 862 citations indexed

About

Diane Tokugawa is a scholar working on Epidemiology, Surgery and Oncology. According to data from OpenAlex, Diane Tokugawa has authored 15 papers receiving a total of 862 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Epidemiology, 10 papers in Surgery and 5 papers in Oncology. Recurrent topics in Diane Tokugawa's work include Cervical Cancer and HPV Research (14 papers), Colorectal and Anal Carcinomas (9 papers) and Genital Health and Disease (5 papers). Diane Tokugawa is often cited by papers focused on Cervical Cancer and HPV Research (14 papers), Colorectal and Anal Carcinomas (9 papers) and Genital Health and Disease (5 papers). Diane Tokugawa collaborates with scholars based in United States, Germany and Costa Rica. Diane Tokugawa's co-authors include Nicolas Wentzensen, Thomas Lorey, Philip E. Castle, Nancy Poitras, Mark Schiffman, Walter Kinney, Barbara Fetterman, Megan A. Clarke, Teresa M. Darragh and Julia C. Gage and has published in prestigious journals such as JNCI Journal of the National Cancer Institute, Cancer Research and Clinical Infectious Diseases.

In The Last Decade

Diane Tokugawa

15 papers receiving 840 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Diane Tokugawa United States	13	708	451	234	85	79	15	862
Mary T. Galgano United States	12	212 0.3×	272 0.6×	138 0.6×	37 0.4×	141 1.8×	14	752
M K Heatley United Kingdom	15	167 0.2×	172 0.4×	170 0.7×	22 0.3×	117 1.5×	48	690
Dinesh Pradhan United States	15	191 0.3×	243 0.5×	178 0.8×	22 0.3×	123 1.6×	57	676
RHM Verheijen Netherlands	9	618 0.9×	301 0.7×	181 0.8×	42 0.5×	156 2.0×	9	817
Paul J. J. M. Klinkhamer Netherlands	12	688 1.0×	185 0.4×	321 1.4×	53 0.6×	81 1.0×	14	854
Jacalyn L. Papillo United States	12	487 0.7×	270 0.6×	163 0.7×	37 0.4×	55 0.7×	26	727
Qinjing Pan China	15	511 0.7×	373 0.8×	202 0.9×	18 0.2×	130 1.6×	71	813
A. Deery United Kingdom	15	276 0.4×	434 1.0×	270 1.2×	31 0.4×	44 0.6×	25	754
Gun Oh Chong South Korea	20	219 0.3×	333 0.7×	161 0.7×	18 0.2×	184 2.3×	116	1.2k
Angelique Levi United States	13	178 0.3×	151 0.3×	58 0.2×	87 1.0×	46 0.6×	32	491

Countries citing papers authored by Diane Tokugawa

Since Specialization

Citations

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

Fields of papers citing papers by Diane Tokugawa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diane Tokugawa

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

All Works

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15 of 15 papers shown

Wentzensen, Nicolas, Bernd Lahrmann, Diane Tokugawa, et al.. (2022). Automated Evaluation of p16/Ki-67 Dual-Stain Cytology as a Biomarker for Detection of Anal Precancer in Men Who Have Sex With Men and Are Living With Human Immunodeficiency Virus. Clinical Infectious Diseases. 75(9). 1565–1572. 7 indexed citations

Wentzensen, Nicolas, Bernd Lahrmann, Megan A. Clarke, et al.. (2020). Accuracy and Efficiency of Deep-Learning–Based Automation of Dual Stain Cytology in Cervical Cancer Screening. JNCI Journal of the National Cancer Institute. 113(1). 72–79. 107 indexed citations

Wentzensen, Nicolas, Megan A. Clarke, Renée C. Bremer, et al.. (2019). Clinical Evaluation of Human Papillomavirus Screening With p16/Ki-67 Dual Stain Triage in a Large Organized Cervical Cancer Screening Program. JAMA Internal Medicine. 179(7). 881–881. 107 indexed citations

Clarke, Megan A., Li C. Cheung, Thomas Lorey, et al.. (2018). 5-Year Prospective Evaluation of Cytology, Human Papillomavirus Testing, and Biomarkers for Detection of Anal Precancer in Human Immunodeficiency Virus–Positive Men Who Have Sex With Men. Clinical Infectious Diseases. 69(4). 631–638. 28 indexed citations

Clarke, Megan A., Li C. Cheung, Philip E. Castle, et al.. (2018). Five-Year Risk of Cervical Precancer Following p16/Ki-67 Dual-Stain Triage of HPV-Positive Women. JAMA Oncology. 5(2). 181–181. 88 indexed citations

Clarke, Megan A., Barbara Fetterman, Mark Schiffman, et al.. (2018). Abstract 2202: Long term risk prediction of p16/Ki-67 dual stain in triage of HPV-positive women. Cancer Research. 78(13_Supplement). 2202–2202. 3 indexed citations

Wentzensen, Nicolas, Barbara Fetterman, Philip E. Castle, et al.. (2015). p16/Ki-67 Dual Stain Cytology for Detection of Cervical Precancer in HPV-Positive Women. JNCI Journal of the National Cancer Institute. 107(12). djv257–djv257. 136 indexed citations

Wentzensen, Nicolas, Stephen Follansbee, Diane Tokugawa, et al.. (2014). Analytic and Clinical Performance of cobas HPV Testing in Anal Specimens from HIV-Positive Men Who Have Sex with Men. Journal of Clinical Microbiology. 52(8). 2892–2897. 26 indexed citations

Wentzensen, Nicolas, Barbara Fetterman, Diane Tokugawa, et al.. (2014). Interobserver reproducibility and accuracy of p16/Ki‐67 dual‐stain cytology in cervical cancer screening. Cancer Cytopathology. 122(12). 914–920. 47 indexed citations

10.

Schwartz, Lauren M., Philip E. Castle, Stephen Follansbee, et al.. (2013). Risk Factors for Anal HPV Infection and Anal Precancer in HIV-Infected Men Who Have Sex With Men. The Journal of Infectious Diseases. 208(11). 1768–1775. 52 indexed citations

11.

Castle, Philip E., Stephen Follansbee, Diane Tokugawa, et al.. (2012). A Comparison of Human Papillomavirus Genotype-Specific DNA and E6/E7 mRNA Detection to Identify Anal Precancer among HIV-Infected Men Who Have Sex with Men. Cancer Epidemiology Biomarkers & Prevention. 22(1). 42–49. 20 indexed citations

12.

Wentzensen, Nicolas, Stephen Follansbee, Diane Tokugawa, et al.. (2012). Human papillomavirus genotyping, human papillomavirus mRNA expression, and p16/Ki-67 cytology to detect anal cancer precursors in HIV-infected MSM. AIDS. 26(17). 2185–2192. 61 indexed citations

13.

Sahasrabuddhe, Vikrant V., Philip E. Castle, Stephen Follansbee, et al.. (2012). Human Papillomavirus Genotype Attribution and Estimation of Preventable Fraction of Anal Intraepithelial Neoplasia Cases Among HIV-Infected Men Who Have Sex With Men. The Journal of Infectious Diseases. 207(3). 392–401. 50 indexed citations

14.

Darragh, Teresa M., Diane Tokugawa, Philip E. Castle, et al.. (2012). Interrater agreement of anal cytology. Cancer Cytopathology. 121(2). 72–78. 45 indexed citations

15.

Oh, Dennis H., et al.. (1999). Five cases of calciphylaxis and a review of the literature. Journal of the American Academy of Dermatology. 40(6). 979–987. 85 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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