Jeffrey N. Bone

2.1k citations
127 papers · 770 · h-index 15

Impact in

Papers in

Jeffrey N. Bone

102 papers receiving 754 citations

Peers

Jeffrey N. Bone
Comparison fields: 5 of 115
  • Obstetrics and Gynecology 238
  • Pediatrics, Perinatology and Child Health 301
  • Health 93
  • Infectious Diseases 92
  • Modeling and Simulation 22
Replace Stephen J. McCall with:
Stephen J. McCall United Kingdom
Deepa Dongarwar United States
Mette Christophersen Tollånes Norway
José E. Becerra United States
Edward Mullins United Kingdom
Joan Mastrobattista United States
Darshan P. Patel United States
Ethel‐Sherry Gordon Israel
Özlem Moraloğlu Tekın Türkiye
Ali H. Ziyab Kuwait
Jeffrey N. Bone relative to Stephen J. McCall United Kingdom Stephen J. McCall's profile →
Citations per field
00.5×
Stephen J. McCall · 1×
Citations per year

Countries citing papers authored by Jeffrey N. Bone

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey N. Bone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jeffrey N. Bone, 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 N. Bone Line = papers co-authored together Jeffrey N. Bone links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 127 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202253
2 202144
3 202239
4 202335
5 202033
6 202132
7 201824
8 202021
9 202020
10 202119
11 202018
12 202017
13 202216
14 201816
15 202015
16 202314
17 202214
18 202314
19 202114
20 202112

About Jeffrey N. Bone

Jeffrey N. Bone is a scholar working on Pediatrics, Perinatology and Child Health, Obstetrics and Gynecology, Surgery, Pulmonary and Respiratory Medicine and Epidemiology, having authored 127 papers that have together received 770 indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (25 papers), Birth, Development, and Health (13 papers), Maternal and fetal healthcare (12 papers), Diabetes Management and Research (10 papers), Gestational Diabetes Research and Management (10 papers), Neonatal Respiratory Health Research (10 papers), Infant Development and Preterm Care (7 papers) and Global Maternal and Child Health (7 papers). The work is most often cited by research in Obstetrics and Gynecology (238 citations), Pediatrics, Perinatology and Child Health (301 citations), Health (93 citations), Infectious Diseases (92 citations) and Modeling and Simulation (22 citations). Jeffrey N. Bone has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Peter von Dadelszen, Laura A. Magee, Marianne Vidler, Mai‐Lei Woo Kinshella, K.S. Joseph, Sarka Lisonkova, Ran D. Goldman, Hiten D. Mistry, Jocelyn A. Srigley and Neda Razaz. Their work appears in journals such as BJOG An International Journal of Obstetrics & Gynaecology, BMJ Open, JAMA Network Open, American Journal of Obstetrics and Gynecology and Journal of Pediatric Orthopaedics.

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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