Michelle Jack

1.1k citations
23 papers · 710 · h-index 11

Impact in

Papers in

Michelle Jack

20 papers receiving 694 citations

Peers

Michelle Jack
Comparison fields: 5 of 86
  • Endocrinology, Diabetes and Metabolism 312
  • Endocrine and Autonomic Systems 66
  • Genetics 201
  • Molecular Biology 315
  • Pediatrics, Perinatology and Child Health 84
Replace Om Prakash Dwivedi with:
Om Prakash Dwivedi India
Magdalena Stasiak Poland
Gennaro Rosella Australia
Eleni Κousta United Kingdom
Carla Musso Argentina
Deborah A. Elder United States
Olimpia Arellano‐Campos Mexico
Susan Gelding United Kingdom
Susanne M. Cabrera United States
Jacek Brązert Poland
Michelle Jack relative to Om Prakash Dwivedi India Om Prakash Dwivedi's profile →
Citations per field
00.5×1.5×2.4×
Om Prakash Dwivedi · 1×
Citations per year

Countries citing papers authored by Michelle Jack

Since Specialization
Citations

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

Fields of papers citing papers by Michelle Jack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016312
2 201289
3 201673
4 201135
5 200333
6 201027
7 201726
8 201120
9 201219
10 200017
11 200714
12 202010
13 20146
14 20235
15 20095
16 20215
17 20185
18 20144
19 20053
20 20222

About Michelle Jack

Michelle Jack is a scholar working on Endocrinology, Diabetes and Metabolism, Pediatrics, Perinatology and Child Health, Surgery, Endocrine and Autonomic Systems and Molecular Biology, having authored 23 papers that have together received 710 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (9 papers), Neuroscience of respiration and sleep (5 papers), Neonatal Health and Biochemistry (5 papers), Pancreatic function and diabetes (4 papers), Diabetes Management and Research (4 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (3 papers), Diabetes and associated disorders (3 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (312 citations), Endocrine and Autonomic Systems (66 citations), Genetics (201 citations), Molecular Biology (315 citations) and Pediatrics, Perinatology and Child Health (84 citations). Michelle Jack has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Nivedita Patni, Martin Wabitsch, Tohru Yorifuji, Ekaterina Sorkina, Abhimanyu Garg, Rebecca J. Brown, Pik To Cheung, David B. Dunger, Corinne Vigouroux and David Araújo‐Vilar. Their work appears in journals such as Pediatric and Developmental Pathology, Clinical Endocrinology, PLoS ONE, Community Work & Family and Pediatric Diabetes.

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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