Jill Racketa

12 papers receiving 425 citations

Peers

Jill Racketa
Comparison fields: 5 of 63
  • Endocrinology, Diabetes and Metabolism 294
  • Genetics 112
  • Pathology and Forensic Medicine 66
  • Reproductive Medicine 23
  • Research and Theory 2
Replace Lars‐Åke Mattsson with:
Lars‐Åke Mattsson Sweden
Martina Venier Italy
Sonia Cerdas Pérez Costa Rica
Henry Boardman United Kingdom
Güzin Fidan Yaylalı Türkiye
Esra Döğer Türkiye
Angelamaria Becorpi Italy
Javier Maravall Spain
R. H. Greenwood United Kingdom
Miroslava Hučková Slovakia
Jill Racketa relative to Lars‐Åke Mattsson Sweden Lars‐Åke Mattsson's profile →
Citations per field
00.5×5×10×15.5×
Lars‐Åke Mattsson · 1×
Citations per year

Countries citing papers authored by Jill Racketa

Since Specialization
Citations

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

Fields of papers citing papers by Jill Racketa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2013123
2 201486
3 201051
4 201348
5 201344
6 201229
7 201424
8 201314
9 201212
10 201211
11 20124
12
The Impact of Severity of VMS on Health Status, Resource Use and Productivity
20111

About Jill Racketa

Jill Racketa is a scholar working on Endocrinology, Diabetes and Metabolism, Reproductive Medicine, Genetics, Pathology and Forensic Medicine and General Health Professions, having authored 12 papers that have together received 447 indexed citations. Recurring topics across this work include Menopause: Health Impacts and Treatments (8 papers), Estrogen and related hormone effects (2 papers), Pneumonia and Respiratory Infections (1 paper), Diabetes Treatment and Management (1 paper), Phytoestrogen effects and research (1 paper), Endometriosis Research and Treatment (1 paper) and Health and Wellbeing Research (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (294 citations), Genetics (112 citations), Pathology and Forensic Medicine (66 citations), Reproductive Medicine (23 citations) and Research and Theory (2 citations). Jill Racketa has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Andrew G. Bushmakin, Sebastián Mirkin, JoAnn V. Pinkerton, Marco DiBonaventura, Jan-Samuel Wagner, Jennifer Whiteley, Arkadi A. Chines, Josephine Mauskopf, Lucy Abraham and Itay Perlstein. Their work appears in journals such as Menopause The Journal of The North American Menopause Society, Climacteric, Respiratory Research, Journal of Women s Health and Diabetes Obesity and 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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