Grace Flock

1.8k citations
19 papers · 1.5k · h-index 16

Impact in

Papers in

Grace Flock

19 papers receiving 1.5k citations

Peers

Grace Flock
Comparison fields: 5 of 88
  • Endocrine and Autonomic Systems 269
  • Endocrinology, Diabetes and Metabolism 526
  • Cellular and Molecular Neuroscience 400
  • Aging 29
  • Genetics 360
Replace Yoshiko Katoh with:
Yoshiko Katoh Japan
Natalie D. Stull United States
Nanao Horike Japan
Nino Mzhavia United States
Fayçal Boussouar France
Olof Idevall‐Hagren Sweden
M P Graziano United States
Anita C. Maiyar United States
André Jolivet France
Chunyu Jin United States
Grace Flock relative to Yoshiko Katoh Japan Yoshiko Katoh's profile →
Citations per field
00.5×3.5×
Yoshiko Katoh · 1×
Citations per year

Countries citing papers authored by Grace Flock

Since Specialization
Citations

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

Fields of papers citing papers by Grace Flock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 1994425
2 2006247
3 2007137
4 1995109
5 199497
6 200290
7 199582
8 201065
9 200450
10 201247
11 201745
12 200730
13 200327
14 199726
15 201723
16 200215
17 200413
18 20005
19 19983

About Grace Flock

Grace Flock is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Surgery, Cellular and Molecular Neuroscience and Genetics, having authored 19 papers that have together received 1.5k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (10 papers), Pancreatic function and diabetes (7 papers), Estrogen and related hormone effects (4 papers), Retinoids in leukemia and cellular processes (4 papers), Nuclear Receptors and Signaling (4 papers), Metabolism, Diabetes, and Cancer (2 papers), Neuroendocrine Tumor Research Advances (2 papers) and Regulation of Appetite and Obesity (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (269 citations), Endocrinology, Diabetes and Metabolism (526 citations), Cellular and Molecular Neuroscience (400 citations), Aging (29 citations) and Genetics (360 citations). Grace Flock has collaborated with scholars based in Canada, Japan and United States. Frequent co-authors include Vincent Giguère, Daniel J. Drucker, Edmund Ong, Ronald M. Evans, Gail Otulakowski, Linda D. B. McBroom, Yutaka Seino, Tanya Hansotia, Yuichiro Yamada and Adriano Maida. Their work appears in journals such as Diabetes, Endocrinology, Molecular Endocrinology, Molecular and Cellular Biology and The Journal of Physiology.

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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