Alexander Ling

87 papers receiving 3.8k citations

Peers

Alexander Ling
Comparison fields: 5 of 112
  • Endocrinology, Diabetes and Metabolism 1.0k
  • Cancer Research 816
  • Surgery 1.8k
  • Neurology 520
  • Oncology 541
Replace Lori A. Erickson with:
Lori A. Erickson United States
Secondo Lastoria Italy
Norbert Avril United States
Thomas Knösel Germany
Daniel M. Berney United Kingdom
Matthew H. Taylor United States
Andrew Protheroe United Kingdom
Helga B. Salvesen Norway
Roy B. Tishler United States
Giancarlo Troncone Italy
Alexander Ling relative to Lori A. Erickson United States Lori A. Erickson's profile →
Citations per field
00.5×1.5×1.9×
Lori A. Erickson · 1×
Citations per year

Countries citing papers authored by Alexander Ling

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011362
2 2009291
3 2007232
4 2015200
5 2012190
6 2013178
7 2014138
8 2016119
9 2017113
10 2008109
11 2011100
12 199099
13 201597
14 201492
15 201191
16 200783
17 201074
18 200964
19 202161
20 201661

About Alexander Ling

Alexander Ling is a scholar working on Surgery, Molecular Biology, Cancer Research, Endocrinology, Diabetes and Metabolism and Pulmonary and Respiratory Medicine, having authored 91 papers that have together received 3.9k indexed citations. Recurring topics across this work include Adrenal and Paraganglionic Tumors (26 papers), Cancer, Hypoxia, and Metabolism (11 papers), Pituitary Gland Disorders and Treatments (8 papers), Neuroblastoma Research and Treatments (6 papers), Quantum Information and Cryptography (5 papers), Medical Imaging Techniques and Applications (5 papers), Sexual Differentiation and Disorders (4 papers) and Computational Drug Discovery Methods (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.0k citations), Cancer Research (816 citations), Surgery (1.8k citations), Neurology (520 citations) and Oncology (541 citations). Alexander Ling has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Karen T. Adams, Clara C. Chen, Jorge A. Carrasquillo, Karel Pacák, Millie Whatley, Henri Timmers, Seth M. Steinberg, Graeme Eisenhofer, Karel Pacák and Anish Thomas. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Journal of Nuclear Medicine, American Journal of Roentgenology, Endocrine Related Cancer and Nature Communications.

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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