Emily Hinchcliff

121 total papers · 1.8k total citations
57 papers, 718 citations indexed

About

Emily Hinchcliff is a scholar working on Reproductive Medicine, Oncology and Obstetrics and Gynecology. According to data from OpenAlex, Emily Hinchcliff has authored 57 papers receiving a total of 718 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Reproductive Medicine, 23 papers in Oncology and 23 papers in Obstetrics and Gynecology. Recurrent topics in Emily Hinchcliff's work include Ovarian cancer diagnosis and treatment (24 papers), Endometrial and Cervical Cancer Treatments (22 papers) and Uterine Myomas and Treatments (12 papers). Emily Hinchcliff is often cited by papers focused on Ovarian cancer diagnosis and treatment (24 papers), Endometrial and Cervical Cancer Treatments (22 papers) and Uterine Myomas and Treatments (12 papers). Emily Hinchcliff collaborates with scholars based in United States, Germany and United Kingdom. Emily Hinchcliff's co-authors include Alexander Melamed, J. Alejandro Rauh‐Hain, Marcela G. del Carmen, Michael G. Muto, Elisabeth Diver, Titilope Oduyebo, Bradley J. Quade, Allison Gockley, Sarah Feldman and Karen H. Lu and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and American Journal of Obstetrics and Gynecology.

In The Last Decade

Emily Hinchcliff

49 papers receiving 704 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Emily Hinchcliff	383	366	182	148	78	57	718
Derek Cruickshank	442 1.2×	498 1.4×	204 1.1×	229 1.5×	48 0.6×	37	889
Fuat Demirkıran	452 1.2×	434 1.2×	165 0.9×	131 0.9×	97 1.2×	77	773
Stelios Fotiou	311 0.8×	286 0.8×	126 0.7×	117 0.8×	107 1.4×	51	690
Donald E. Marsden	266 0.7×	317 0.9×	169 0.9×	130 0.9×	61 0.8×	39	646
Macit Arvas	432 1.1×	504 1.4×	165 0.9×	135 0.9×	128 1.6×	65	841
Élodie Chantalat	243 0.6×	230 0.6×	187 1.0×	125 0.8×	74 0.9×	65	735
Tapio Kuoppala	264 0.7×	303 0.8×	135 0.7×	110 0.7×	86 1.1×	35	629
Francesca Ciccarone	323 0.8×	332 0.9×	112 0.6×	160 1.1×	120 1.5×	52	643
Tugan Beşe	489 1.3×	486 1.3×	129 0.7×	94 0.6×	87 1.1×	60	771
Samet Topuz	328 0.9×	331 0.9×	153 0.8×	93 0.6×	85 1.1×	88	720

Countries citing papers authored by Emily Hinchcliff

Since Specialization

Citations

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

Fields of papers citing papers by Emily Hinchcliff

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emily Hinchcliff

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

All Works

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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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