D. Spriggs

22 papers receiving 418 citations

Peers

D. Spriggs
Comparison fields: 5 of 70
  • Endocrinology 56
  • Reproductive Medicine 82
  • Oncology 106
  • Cancer Research 58
  • Hematology 44
Replace Iwona Kątnik‐Prastowska with:
Iwona Kątnik‐Prastowska Poland
Oksana Kowalczuk Poland
Natalie M. Warholic United States
Fang Yuan China
Jacqui Adams United Kingdom
Masayoshi Hayama Japan
Farhad Babaie Iran
Sara E. Kost Canada
Dubravka Cvejić Serbia
Yeh Chen Lee Australia
D. Spriggs relative to Iwona Kątnik‐Prastowska Poland Iwona Kątnik‐Prastowska's profile →
Citations per field
00.5×6.2×
Iwona Kątnik‐Prastowska · 1×
Citations per year

Countries citing papers authored by D. Spriggs

Since Specialization
Citations

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

Fields of papers citing papers by D. Spriggs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Salvage weekly paclitaxel in recurrent ovarian cancer.
199754
2 198952
3 200249
4
Tumor necrosis factor expression by human ovarian carcinoma in vivo.
199149
5 199536
6 199734
7 198927
8 199726
9 200420
10 198918
11 199916
12 198814
13 200713
14 19899
15 20094
16 20063
17 20073
18 20043
19
Implementation of disease management guidelines in patients with advanced ovarian cancer.
19993
20 20092

About D. Spriggs

D. Spriggs is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Reproductive Medicine, Hematology and Oncology, having authored 22 papers that have together received 437 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (5 papers), Blood properties and coagulation (4 papers), Vibrio bacteria research studies (3 papers), Blood Coagulation and Thrombosis Mechanisms (3 papers), Venous Thromboembolism Diagnosis and Management (2 papers), Platelet Disorders and Treatments (2 papers), Salmonella and Campylobacter epidemiology (2 papers) and Testicular diseases and treatments (2 papers). The work is most often cited by research in Endocrinology (56 citations), Reproductive Medicine (82 citations), Oncology (106 citations), Cancer Research (58 citations) and Hematology (44 citations). D. Spriggs has collaborated with scholars based in United States and Belgium. Frequent co-authors include Emil Frei, Fernando Cotait Maluf, D. Fennelly, Carol Aghajanian, Yutaka Hashimoto, R.R. Barakat, Janet Shimko, R. Bradley Sack, D Collen and Nadeem R. Abu‐Rustum. Their work appears in journals such as Journal of Clinical Oncology, International Journal of Gynecological Cancer, Thrombosis and Haemostasis, Blood and Current topics in microbiology and immunology.

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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