Jeffrey How

1.3k citations
58 papers · 865 · h-index 17

Impact in

Papers in

Jeffrey How

51 papers receiving 858 citations

Peers

Jeffrey How
Comparison fields: 5 of 60
  • Obstetrics and Gynecology 557
  • Reproductive Medicine 224
  • Oncology 88
  • Surgery 113
  • Epidemiology 61
Replace Mauro Melpignano with:
Mauro Melpignano Italy
Jitti Hanprasertpong Thailand
Bahadır Saatli Türkiye
Danielle Vicus Canada
Yasuki Kusanagi Japan
Fredric V. Price United States
Donald E. Marsden Australia
Shinichiro Minobe Japan
José Chanona-Vilchis Mexico
Joel Clemmer United States
Jeffrey How relative to Mauro Melpignano Italy Mauro Melpignano's profile →
Citations per field
00.5×7.3×
Mauro Melpignano · 1×
Citations per year

Countries citing papers authored by Jeffrey How

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey How

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jeffrey How, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jeffrey How Line = papers co-authored together Jeffrey How links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015125
2 201265
3 201461
4 202152
5 201851
6 202137
7 201334
8 201733
9 202132
10 201931
11 201731
12 202127
13 201526
14 201024
15 202124
16 202019
17 201416
18 202115
19 201814
20 201914

About Jeffrey How

Jeffrey How is a scholar working on Obstetrics and Gynecology, Oncology, Reproductive Medicine, Surgery and Pathology and Forensic Medicine, having authored 58 papers that have together received 865 indexed citations. Recurring topics across this work include Endometrial and Cervical Cancer Treatments (25 papers), Ovarian cancer diagnosis and treatment (13 papers), Cancer Immunotherapy and Biomarkers (11 papers), Uterine Myomas and Treatments (4 papers), Colorectal and Anal Carcinomas (3 papers), Immunotherapy and Immune Responses (3 papers), Genetic factors in colorectal cancer (3 papers) and Endometriosis Research and Treatment (2 papers). The work is most often cited by research in Obstetrics and Gynecology (557 citations), Reproductive Medicine (224 citations), Oncology (88 citations), Surgery (113 citations) and Epidemiology (61 citations). Jeffrey How has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Walter H. Gotlieb, Susie Lau, Raphael Gotlieb, Joshua Z. Press, Sonya Brin, Jeremie Abitbol, Stephan Probst, Manuela Pelmus, Alex Ferenczy and Shannon Salvador. Their work appears in journals such as Gynecologic Oncology, International Journal of Gynecological Cancer, American Journal of Obstetrics and Gynecology, Journal of Obstetrics and Gynaecology Canada and Journal of Clinical Oncology.

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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