Neil Chappell

416 total citations
18 papers, 268 citations indexed

About

Neil Chappell is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Neil Chappell has authored 18 papers receiving a total of 268 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Reproductive Medicine, 10 papers in Public Health, Environmental and Occupational Health and 8 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Neil Chappell's work include Ovarian function and disorders (12 papers), Reproductive Biology and Fertility (9 papers) and Assisted Reproductive Technology and Twin Pregnancy (6 papers). Neil Chappell is often cited by papers focused on Ovarian function and disorders (12 papers), Reproductive Biology and Fertility (9 papers) and Assisted Reproductive Technology and Twin Pregnancy (6 papers). Neil Chappell collaborates with scholars based in United States. Neil Chappell's co-authors include Drake E. Bellanger, John Storment, Karen Elkind‐Hirsch, William E. Gibbons, Chellakkan S. Blesson, Amy K. Schutt, Mary Peavey, Liubin Yang, Jaimin S. Shah and Cecilia T. Valdés and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, International Journal of Radiation Oncology*Biology*Physics and Fertility and Sterility.

In The Last Decade

Neil Chappell

16 papers receiving 263 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Neil Chappell United States 7 159 108 82 42 39 18 268
Nellie Wixom United States 6 187 1.2× 153 1.4× 51 0.6× 30 0.7× 19 0.5× 11 297
Lana Škrgatić Croatia 13 257 1.6× 160 1.5× 80 1.0× 31 0.7× 15 0.4× 23 361
Xi Luo China 9 109 0.7× 73 0.7× 35 0.4× 19 0.5× 14 0.4× 22 197
Catalina Hitschfeld Chile 5 173 1.1× 114 1.1× 149 1.8× 54 1.3× 17 0.4× 6 354
Hanne Mumm Denmark 12 370 2.3× 226 2.1× 116 1.4× 48 1.1× 21 0.5× 15 451
D. Antenucci Italy 4 371 2.3× 238 2.2× 143 1.7× 36 0.9× 32 0.8× 6 440
R. Li China 5 355 2.2× 274 2.5× 42 0.5× 47 1.1× 12 0.3× 9 420
Vesna Šalamun Slovenia 7 204 1.3× 77 0.7× 101 1.2× 21 0.5× 60 1.5× 12 287
Maria Forslund Sweden 12 257 1.6× 156 1.4× 75 0.9× 18 0.4× 11 0.3× 20 312
Cecilia Bonin Italy 9 299 1.9× 231 2.1× 79 1.0× 21 0.5× 16 0.4× 12 417

Countries citing papers authored by Neil Chappell

Since Specialization
Citations

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

Fields of papers citing papers by Neil Chappell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neil Chappell

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

All Works

18 of 18 papers shown
1.
Shin, Byung‐Cheul, Jonathan W. Riess, Nadia J. Khati, et al.. (2023). Prediction of Progression After Cervix Cancer Radiotherapy Using a Machine-Learning Model on Pre-Treatment MRI. International Journal of Radiation Oncology*Biology*Physics. 117(2). S132–S132.
2.
3.
Chapple, Andrew G., et al.. (2022). Systematic Review and Meta-Analysis of Perioperative Administration of Acetazolamide for Management of Postoperative Pain after Laparoscopy. JSLS Journal of the Society of Laparoscopic & Robotic Surgeons. 26(3). e2022.00032–e2022.00032. 2 indexed citations
4.
Chappell, Neil, William E. Gibbons, & Chellakkan S. Blesson. (2022). Pathology of hyperandrogenemia in the oocyte of polycystic ovary syndrome. Steroids. 180. 108989–108989. 9 indexed citations
5.
Yang, Liubin, Mary Peavey, Neil Chappell, et al.. (2022). Development of a dynamic machine learning algorithm to predict clinical pregnancy and live birth rate with embryo morphokinetics. F&S Reports. 3(2). 116–123. 21 indexed citations
6.
Elkind‐Hirsch, Karen, et al.. (2021). Exenatide, Dapagliflozin, or Phentermine/Topiramate Differentially Affect Metabolic Profiles in Polycystic Ovary Syndrome. The Journal of Clinical Endocrinology & Metabolism. 106(10). 3019–3033. 63 indexed citations
7.
8.
Chappell, Neil, Jaimin S. Shah, Mary Peavey, et al.. (2020). Embryos from polycystic ovary syndrome patients with hyperandrogenemia reach morula stage faster than controls. F&S Reports. 1(2). 125–132. 16 indexed citations
9.
10.
Chappell, Neil, et al.. (2020). Prenatal androgen induced lean PCOS impairs mitochondria and mRNA profiles in oocytes. Endocrine Connections. 9(3). 261–270. 29 indexed citations
11.
Yang, Liubin, Mary Peavey, Neil Chappell, et al.. (2019). Predicting clinical pregnancy by machine learning algorithm using noninvasive embryo morphokinetics at an academic center. Fertility and Sterility. 112(3). e181–e181. 1 indexed citations
12.
Shah, Jaimin S., et al.. (2018). Neonatal outcomes among twins stratified by method of conception: secondary analysis of maternal fetal medicine (MFMU) network database. Journal of Assisted Reproduction and Genetics. 35(6). 1011–1017. 5 indexed citations
13.
Chappell, Neil & Chellakkan S. Blesson. (2018). Polycystic Ovary Syndrome: A Multifaceted Enigma. 1(1). 1 indexed citations
14.
Chappell, Neil & William E. Gibbons. (2017). The use of gonadotropin-releasing hormone antagonist post-ovulation trigger in ovarian hyperstimulation syndrome. Daehan saengsik uihak hoeji/Clinical and experimental reproductive medicine. 44(2). 57–57. 6 indexed citations
15.
Chappell, Neil, Haleh Sangi‐Haghpeykar, William E. Gibbons, & Chellakkan S. Blesson. (2017). The effects of dihydrotestosterone on mouse early embryonic development. Fertility and Sterility. 108(3). e155–e155. 1 indexed citations
16.
Shah, Jaimin S., et al.. (2017). Pregnancy outcomes among twins stratified by method of conception, a secondary analysis of maternal fetal medicine units (MFMU) network database. Fertility and Sterility. 108(3). e350–e350. 1 indexed citations
17.
Chappell, Neil & Terri L. Woodard. (2017). Sexual and Reproductive Dysfunction in Young Female Cancer Patients. Current Sexual Health Reports. 9(1). 12–19. 1 indexed citations
18.
Chappell, Neil, G. Wright Bates, & J. McLaren. (2014). Reproductive Outcomes After Operative Hysteroscopy Using Sodium Hyaluronate and Carboxymethylcellulose. Obstetrics and Gynecology. 123(Supplement 1). 188S–188S. 1 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Nellie Wixom Breakdown of academic impact, for papers by Lana Škrgatić Breakdown of academic impact, for papers by Xi Luo Breakdown of academic impact, for papers by Catalina Hitschfeld Breakdown of academic impact, for papers by Hanne Mumm Breakdown of academic impact, for papers by D. Antenucci Breakdown of academic impact, for papers by R. Li Breakdown of academic impact, for papers by Vesna Šalamun Breakdown of academic impact, for papers by Maria Forslund Breakdown of academic impact, for papers by Cecilia Bonin
Rankless by CCL
2026