Joan K. Riley

4.9k citations
42 papers · 4.0k indexed · 2 hit papers · h-index 20
Topics
Reproductive System and Pregnancy (13 papers)Reproductive Biology and Fertility (9 papers)Pregnancy and preeclampsia studies (8 papers)

In The Last Decade

Joan K. Riley

39 papers receiving 3.9k citations

Hit Papers

Targeted Disruption of the Stat1 Gene in Mice Reveals Une...1996202620062016199619984008001.2k

Peers

Joan K. Riley
Comparison fields: 5 of 102
  • Immunology 2.5k
  • Oncology 1.7k
  • Molecular Biology 910
  • Public Health, Environmental and Occupational Health 380
  • Cancer Research 345
Replace Kazunori Imada with:
Kazunori Imada Japan
Masaki Inoue Japan
Tomohiro Takahashi Japan
Daniel Benharroch Israel
Cécile Le Page Canada
Chien‐Kuo Lee Taiwan
Charles E. Egwuagu United States
Aaron Arvey United States
Yutaka Suehiro Japan
Lynne Bingle United Kingdom
Joan K. Riley relative to Kazunori Imada Japan Kazunori Imada's profile →
Citations per field
00.5×2.7×
Kazunori Imada · 1×
Citations per year

Countries citing papers authored by Joan K. Riley

Since Specialization
Citations

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

Fields of papers citing papers by Joan K. Riley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joan K. Riley. 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 Joan K. Riley. The network helps show where Joan K. Riley may publish in the future.

Co-authorship network of co-authors of Joan K. Riley

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 3
3 0
4 1
5 1
6 16
7 4
8 12
9 5
10 9
11 38
12 56
13 13
14 68
15 31
16 18
17 55
18 56
19 21
20
Disruption of the Jak1 Gene Demonstrates Obligatory and Nonredundant Roles of the Jaks in Cytokine-Induced Biologic Responsesbreakdown →
675

About Joan K. Riley

Joan K. Riley is a scholar working on Reproductive Medicine, Obstetrics and Gynecology and Immunology, having authored 42 papers that have together received 4.0k indexed citations. Recurring topics across this work include Reproductive System and Pregnancy (13 papers), Reproductive Biology and Fertility (9 papers) and Pregnancy and preeclampsia studies (8 papers). The work is most often cited by research in Immunology (2.5k citations), Oncology (1.7k citations) and Reproductive Medicine (272 citations). Joan K. Riley has collaborated with scholars based in United States, Mexico and Switzerland. Frequent co-authors include Robert D. Schreiber, J. Michael White, Marco Antonio Meraz‐Ríos, Scott J. Rodig, Kathleen C. F. Sheehan, Andrew C. Greenlund, Erika A Bach, Anand S. Dighe, Daniel H. Kaplan and Ross Clark. Their work appears in journals such as Cell, Journal of Biological Chemistry and The Journal of Clinical Endocrinology & Metabolism.

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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