Julie E. Goodwin

2.0k citations
40 papers · 1.4k · h-index 23

Impact in

Papers in

Julie E. Goodwin

39 papers receiving 1.4k citations

Peers

Julie E. Goodwin
Comparison fields: 5 of 94
  • Nephrology 199
  • Geriatrics and Gerontology 72
  • Endocrinology, Diabetes and Metabolism 310
  • Behavioral Neuroscience 64
  • Transplantation 33
Replace Daniela Macconi with:
Daniela Macconi Italy
Manish S. Bharadwaj United States
Guijun Qin China
Ottavia Porzio Italy
Sayuko Kobes United States
Claus Peter Schmitt Germany
Ajay Kher United States
Wenguang Feng United States
Changchun Cao China
Jiafa Ren United States
Julie E. Goodwin relative to Daniela Macconi Italy Daniela Macconi's profile →
Citations per field
00.5×10×12.7×
Daniela Macconi · 1×
Citations per year

Countries citing papers authored by Julie E. Goodwin

Since Specialization
Citations

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

Fields of papers citing papers by Julie E. Goodwin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julie E. Goodwin. 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 Julie E. Goodwin. The network helps show where Julie E. Goodwin may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018138
2 2011117
3 2012115
4 202192
5 201989
6 201982
7 200863
8 202062
9 202154
10 202051
11 202049
12 201144
13 201940
14 202034
15 202132
16 202031
17 201927
18 201527
19 200826
20 202126

About Julie E. Goodwin

Julie E. Goodwin is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Genetics, Nephrology and Immunology, having authored 40 papers that have together received 1.4k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (9 papers), Estrogen and related hormone effects (5 papers), Ion Transport and Channel Regulation (5 papers), Renal Diseases and Glomerulopathies (5 papers), Chronic Kidney Disease and Diabetes (4 papers), Adrenal Hormones and Disorders (4 papers), Nitric Oxide and Endothelin Effects (3 papers) and Renal and related cancers (3 papers). The work is most often cited by research in Nephrology (199 citations), Geriatrics and Gerontology (72 citations), Endocrinology, Diabetes and Metabolism (310 citations), Behavioral Neuroscience (64 citations) and Transplantation (33 citations). Julie E. Goodwin has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Swayam Prakash Srivastava, Keizo Kanasaki, David S. Geller, Daisuke Koya, William C. Sessa, Heino Velázquez, Yan Feng, Tie‐Ning Zhang, Junhui Zhang and Han Zhou. Their work appears in journals such as Frontiers in Pharmacology, Science Advances, International Journal of Molecular Sciences, American Journal of Physiology-Renal Physiology and Cells.

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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