J. Mould

641 citations
27 papers · 447 · h-index 14

Impact in

Papers in

J. Mould

26 papers receiving 415 citations

Peers

J. Mould
Comparison fields: 5 of 61
  • Obstetrics and Gynecology 197
  • Reproductive Medicine 136
  • Oncology 99
  • Pathology and Forensic Medicine 64
  • Surgery 126
Replace Wayne A. Christopherson with:
Wayne A. Christopherson United States
Dean R. Goplerud United States
Piver Ms United States
Ricardo Estape United States
Jenny M. Whitworth United States
Fatih Güçer Türkiye
A. Sullivan United Kingdom
Taek Sang Lee South Korea
J.Max Austin United States
Anne T. OʼMeara United States
J. Mould relative to Wayne A. Christopherson United States Wayne A. Christopherson's profile →
Citations per field
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Wayne A. Christopherson · 1×
Citations per year

Countries citing papers authored by J. Mould

Since Specialization
Citations

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

Fields of papers citing papers by J. Mould

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198975
2
Phase II study of ifosfamide in cervical cancer.
198640
3 199039
4
Phase II study of mitoxantrone in epithelial ovarian cancer.
198733
5 198832
6 199032
7 198829
8 198323
9 197818
10 199016
11 199314
12 198714
13 198813
14 198613
15 199010
16
The role of ifosfamide in cervical cancer.
198910
17 19896
18 19855
19 19855
20 19915

About J. Mould

J. Mould is a scholar working on Obstetrics and Gynecology, Surgery, Reproductive Medicine, Pathology and Forensic Medicine and Oncology, having authored 27 papers that have together received 447 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (9 papers), Endometrial and Cervical Cancer Treatments (9 papers), Chemotherapy-induced organ toxicity mitigation (6 papers), Uterine Myomas and Treatments (3 papers), Polyomavirus and related diseases (2 papers), Cancer Treatment and Pharmacology (2 papers), Cervical Cancer and HPV Research (2 papers) and Colorectal and Anal Carcinomas (2 papers). The work is most often cited by research in Obstetrics and Gynecology (197 citations), Reproductive Medicine (136 citations), Oncology (99 citations), Pathology and Forensic Medicine (64 citations) and Surgery (126 citations). J. Mould has collaborated with scholars based in United Kingdom, South Africa and Australia. Frequent co-authors include G. Blackledge, D. Spooner, T. Latief, C. A. Meanwell, A.D. Chetiyawardana, E. J. Buxton, David Luesley, Ciarán Woodman, J. A. Jordan and F. Lawton. Their work appears in journals such as Cancer Chemotherapy and Pharmacology, Clinical Oncology, JNCI Journal of the National Cancer Institute, Gynecologic Oncology and Clinical Radiology.

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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