Nicole Myers

662 total citations
9 papers, 546 citations indexed

About

Nicole Myers is a scholar working on Surgery, Oncology and Rheumatology. According to data from OpenAlex, Nicole Myers has authored 9 papers receiving a total of 546 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Surgery, 2 papers in Oncology and 2 papers in Rheumatology. Recurrent topics in Nicole Myers's work include Oral microbiology and periodontitis research (1 paper), Genomics and Rare Diseases (1 paper) and Orthopaedic implants and arthroplasty (1 paper). Nicole Myers is often cited by papers focused on Oral microbiology and periodontitis research (1 paper), Genomics and Rare Diseases (1 paper) and Orthopaedic implants and arthroplasty (1 paper). Nicole Myers collaborates with scholars based in United States, Canada and Brazil. Nicole Myers's co-authors include Charles Sfeir, Kostas Verdelis, Amy Chaya, Spandan Maiti, Da‐Tren Chou, Siladitya Pal, Bernard J. Costello, Prashant N. Kumta, Sayuri Yoshizawa and Zhe Zhuang and has published in prestigious journals such as Acta Biomaterialia, Journal of Dental Research and Journal of the American Medical Informatics Association.

In The Last Decade

Nicole Myers

7 papers receiving 537 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nicole Myers United States	4	267	163	145	121	121	9	546
Kai Luo China	18	74 0.3×	67 0.4×	191 1.3×	112 0.9×	45 0.4×	41	710
Konstantinos Verdelis United States	9	200 0.7×	99 0.6×	178 1.2×	24 0.2×	64 0.5×	11	514
Taiqiang Dai China	12	151 0.6×	77 0.5×	199 1.4×	15 0.1×	55 0.5×	28	483
Uwe Yacine Schwarze Austria	15	164 0.6×	88 0.5×	144 1.0×	31 0.3×	83 0.7×	33	551
Joji Okazaki Japan	17	140 0.5×	113 0.7×	511 3.5×	71 0.6×	34 0.3×	75	939
Xiaohui Jiao China	12	288 1.1×	218 1.3×	43 0.3×	10 0.1×	252 2.1×	46	720
Herbert L. Ray United States	10	154 0.6×	36 0.2×	180 1.2×	61 0.5×	26 0.2×	14	679
Julien Braux France	10	78 0.3×	78 0.5×	296 2.0×	36 0.3×	14 0.1×	25	601
Hufei Wang China	15	237 0.9×	42 0.3×	268 1.8×	39 0.3×	13 0.1×	25	783
Heilwig Fischer Germany	11	103 0.4×	73 0.4×	235 1.6×	11 0.1×	41 0.3×	24	621

Countries citing papers authored by Nicole Myers

Since Specialization

Citations

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

Fields of papers citing papers by Nicole Myers

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicole Myers

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Behkamal, Behshid, et al.. (2025). Explainable Feature Engineering in Health Data Science: Empirical Comparison of ChatGPT-4o and Classical Machine Learning Methods. 199–210.

2.

Myers, Nicole, Young Ji Lee, Hongfang Liu, et al.. (2025). Predicting cancer survival at different stages: Insights from fair and explainable machine learning approaches. International Journal of Medical Informatics. 197. 105822–105822.

3.

Biehl, Jacob T., Nicole Myers, Adolph J. Yates, et al.. (2024). Generative AI in orthopedics: an explainable deep few-shot image augmentation pipeline for plain knee radiographs and Kellgren-Lawrence grading. Journal of the American Medical Informatics Association. 31(11). 2668–2678. 2 indexed citations

4.

Cullinan, Darren R., Michael D. McLellan, Tammi L. Vickery, et al.. (2020). Preliminary Results Of A Phase Ib Clinical Trial Of A Neoantigen Dna Vaccine For Pancreatic Cancer. HPB. 22. S12–S13. 3 indexed citations

5.

Zhuang, Zhe, Andrew J. Glowacki, K. L. M. Maltos, et al.. (2018). Induction of M2 Macrophages Prevents Bone Loss in Murine Periodontitis Models. Journal of Dental Research. 98(2). 200–208. 213 indexed citations

6.

McLeod, Katherine, Jane A. Buxton, Lynn Fels, et al.. (2018). Participant-Driven Health Education Workshops With Men Transitioning From Prison to Community. Health Promotion Practice. 20(1). 8–11. 3 indexed citations

7.

Chaya, Amy, Sayuri Yoshizawa, Kostas Verdelis, et al.. (2015). In vivo study of magnesium plate and screw degradation and bone fracture healing. Acta Biomaterialia. 18. 262–269. 305 indexed citations

8.

Myers, Nicole & Stephen G. Grant. (2014). The Blood-Based Glycophorin A (GPA) Human In Vivo Somatic Mutation Assay. Methods in molecular biology. 1105. 223–244. 1 indexed citations

9.

Myers, Nicole, et al.. (1990). Cigarette smoking, blast crisis, and survival in chronic myeloid leukemia. American Journal of Hematology. 34(1). 1–4. 19 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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