Kate E Lines

1.2k citations
41 papers · 609 · h-index 15

Impact in

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

Papers in

    • Neuroendocrine Tumor Research Advances 23
    • Chromatin Remodeling and Cancer 5
    • Protein Degradation and Inhibitors 3

Kate E Lines

40 papers receiving 607 citations

Peers

Kate E Lines
Comparison fields: 5 of 63
  • Neurology 195
  • Nephrology 91
  • Oncology 267
  • Epidemiology 315
  • Endocrinology, Diabetes and Metabolism 112
Replace Sara Molatore with:
Sara Molatore Italy
Rita Domingues Portugal
Lucie Coppin France
Shinsuke Uraki Japan
Nikolaos Givalos Greece
S. Hescot France
G. F. W. Scheumann Germany
Claire Coire Canada
Paul Waring Australia
C Calmettes France
Kate E Lines relative to Sara Molatore Italy Sara Molatore's profile →
Citations per field
00.5×7.5×
Sara Molatore · 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 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020112
2 201847
3 201245
4 201739
5 201232
6 201532
7 201728
8 201826
9 202023
10 201623
11 202319
12 201817
13 201516
14 201716
15 201814
16 202013
17 202010
18 201910
19 20209
20 20237

About Kate E Lines

Kate E Lines is a scholar working on Epidemiology, Molecular Biology, Oncology, Neurology and Endocrinology, Diabetes and Metabolism, having authored 41 papers that have together received 609 indexed citations. Recurring topics across this work include Neuroendocrine Tumor Research Advances (23 papers), Neuroblastoma Research and Treatments (13 papers), Lung Cancer Research Studies (10 papers), Pituitary Gland Disorders and Treatments (9 papers), Pancreatic and Hepatic Oncology Research (7 papers), Parathyroid Disorders and Treatments (5 papers), Chromatin Remodeling and Cancer (5 papers) and Protein Degradation and Inhibitors (3 papers). The work is most often cited by research in Neurology (195 citations), Nephrology (91 citations), Oncology (267 citations), Epidemiology (315 citations) and Endocrinology, Diabetes and Metabolism (112 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, Gerlof D. Valk, Maria Luisa Brandi, Sunita Agarwal, Nancy D. Perrier, Morten Frost, Tatjana Crnogorac‐Jurcevic, Claude Chelala and Gerard Walls. Their work appears in journals such as Endocrine Related Cancer, Endocrine Connections, The Lancet Diabetes & Endocrinology, The Journal of Clinical Endocrinology & Metabolism and Oncogene.

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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