Julia Green

29 papers receiving 664 citations

Peers

Julia Green
Comparison fields: 5 of 121
  • Complementary and alternative medicine 103
  • Immunology 82
  • Public Administration 14
  • Hematology 35
  • Genetics 75
Replace Barbara Woynarowska with:
Barbara Woynarowska Poland
Chun-Yuan Wang Taiwan
Helen E. Ritchie Australia
Anila Venugopal India
Mohammad Adawi Israel
Mladen Golubić United States
Anna Cargill United Kingdom
Julia Green relative to Barbara Woynarowska Poland Barbara Woynarowska's profile →
Citations per field
00.5×3.0×
Barbara Woynarowska · 1×
Citations per year

Countries citing papers authored by Julia Green

Since Specialization
Citations

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

Fields of papers citing papers by Julia Green

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001161
2 202080
3 201177
4 198851
5 201046
6 201042
7 199640
8 201033
9 201228
10 199327
11 199126
12 200725
13 202019
14 202211
15 201211
16 20218
17 20176
18 20205
19 20115
20 20212

About Julia Green

Julia Green is a scholar working on Complementary and alternative medicine, Genetics, Endocrinology, Diabetes and Metabolism, Pediatrics, Perinatology and Child Health and Public Health, Environmental and Occupational Health, having authored 32 papers that have together received 713 indexed citations. Recurring topics across this work include Complementary and Alternative Medicine Studies (5 papers), Inflammatory Bowel Disease (4 papers), Medicinal Plant Extracts Effects (2 papers), Microscopic Colitis (2 papers), Natural Antidiabetic Agents Studies (2 papers), Diabetes Management and Research (1 paper), Gestational Diabetes Research and Management (1 paper) and Traditional and Medicinal Uses of Annonaceae (1 paper). The work is most often cited by research in Complementary and alternative medicine (103 citations), Immunology (82 citations), Public Administration (14 citations), Hematology (35 citations) and Genetics (75 citations). Julia Green has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Noriko Shinjyo, Guy Waddell, W. Tony Parks, Y-H Im, Sanford D. Markowitz, Kate Northstone, Elizabeth Thompson, Jennifer L. Bishop, Alison Denham and Floortje van Nooten. Their work appears in journals such as Gastroenterology, Complementary Therapies in Medicine, Phytochemistry, Journal of Energy & Natural Resources Law and Gynecologic 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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