Kate E Lines

1.3k citations
47 papers · 649 · h-index 15

Impact in

  • Nephrology top 5%
    • Parathyroid Disorders and Treatments
  • Neurology top 10%
    • Neuroblastoma Research and Treatments

Papers in

    • Neuroendocrine Tumor Research Advances 26
    • Lung Cancer Research Studies 12
    • Pancreatic and Hepatic Oncology Research 8

Kate E Lines

42 papers receiving 644 citations

Peers

Kate E Lines
Comparison fields: 5 of 61
  • Nephrology 95
  • Neurology 160
  • Epidemiology 306
  • Oncology 223
  • Endocrinology, Diabetes and Metabolism 106
Replace Catherine Cardot-Bauters with:
Catherine Cardot-Bauters France
S. A. Forbes United Kingdom
Rita Domingues Portugal
Lucie Coppin France
Brita Nord Sweden
S. Hescot France
Monika Fink Germany
Nikolaos Givalos Greece
Ken Takeshima Japan
Seraina Muletta-Feurer Switzerland
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Citations per field
00.5×3.1×
Catherine Cardot-Bauters · 1×
Citations per year

Countries citing papers authored by Kate E Lines

Since Specialization
Citations

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

Fields of papers citing papers by Kate E Lines

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020123
2 201851
3 201246
4 201740
5 201533
6 201232
7 201830
8 201728
9 202024
10 201624
11 202321
12 201517
13 201817
14 201716
15 201814
16 202013
17 202011
18 201911
19 20209
20 20238

About Kate E Lines

Kate E Lines is a scholar working on Epidemiology, Oncology, Molecular Biology, Neurology and Endocrinology, Diabetes and Metabolism, having authored 47 papers that have together received 649 indexed citations. Recurring topics across this work include Neuroendocrine Tumor Research Advances (26 papers), Neuroblastoma Research and Treatments (13 papers), Lung Cancer Research Studies (12 papers), Pancreatic and Hepatic Oncology Research (8 papers), Pituitary Gland Disorders and Treatments (8 papers), Chromatin Remodeling and Cancer (5 papers), Parathyroid Disorders and Treatments (5 papers) and S100 Proteins and Annexins (3 papers). The work is most often cited by research in Nephrology (95 citations), Neurology (160 citations), Epidemiology (306 citations), Oncology (223 citations) and Endocrinology, Diabetes and Metabolism (106 citations). Kate E Lines has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Rajesh V. Thakker, Mark Stevenson, Maria Luisa Brandi, Nancy D. Perrier, Sunita Agarwal, Gerlof D. Valk, Morten Frost, Tatjana Crnogorac‐Jurcevic, Claude Chelala and Ashley Grossman. Their work appears in journals such as Endocrine Related Cancer, Oncogene, The Journal of Clinical Endocrinology & Metabolism, Endocrine Connections and The Lancet Diabetes & Endocrinology.

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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