David Halsall

9.6k total citations · 1 hit paper
106 papers, 5.8k citations indexed

About

David Halsall is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Physiology. According to data from OpenAlex, David Halsall has authored 106 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Endocrinology, Diabetes and Metabolism, 30 papers in Molecular Biology and 15 papers in Physiology. Recurrent topics in David Halsall's work include Thyroid Disorders and Treatments (20 papers), Growth Hormone and Insulin-like Growth Factors (16 papers) and Protein Structure and Dynamics (10 papers). David Halsall is often cited by papers focused on Thyroid Disorders and Treatments (20 papers), Growth Hormone and Insulin-like Growth Factors (16 papers) and Protein Structure and Dynamics (10 papers). David Halsall collaborates with scholars based in United Kingdom, United States and Ireland. David Halsall's co-authors include Krishna Chatterjee, Janis M. Taube, Trevor Baglin, Sabrina Rajan, Carlos Caldas, Betania Mahler‐Araujo, Jennifer Becq, Tim Forshew, Suet‐Feung Chin and Nitzan Rosenfeld and has published in prestigious journals such as New England Journal of Medicine, Journal of Clinical Investigation and Blood.

In The Last Decade

David Halsall

104 papers receiving 5.6k citations

Hit Papers

Analysis of Circulating Tumor DNA to Monitor Metastatic B... 2013 2026 2017 2021 2013 500 1000 1.5k

Peers

David Halsall
Comparison fields: 5 of 160
  • Molecular Biology 2.1k
  • Cancer Research 1.5k
  • Endocrinology, Diabetes and Metabolism 1.1k
  • Oncology 892
  • Pulmonary and Respiratory Medicine 819
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Citations per field, relative to David Halsall
David Halsall · 1×
Citations per year, relative to David Halsall
David Halsall · 1×

Countries citing papers authored by David Halsall

Since Specialization
Citations

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

Fields of papers citing papers by David Halsall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Halsall

This figure shows the co-authorship network connecting the top 25 collaborators of David Halsall. A scholar is included among the top collaborators of David Halsall based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Halsall. David Halsall is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 4
2 4
3 1
4 27
5 0
6 6
7 2
8
25OH vitamin D analysis by liquid chromatography tandem mass spectrometry: interpret results with caution
1
9
Turbulent flow liquid chromatography-tandem mass spectrometry for the analysis of bio-available testosterone in serum
3
10 56
11 90
12
Metyrapone interference in serum cortisol immunoassay
1
13 12
14
On the origin and nature of big prolactin
1
15 68
16 65
17 4
18 19
19 116
20 22

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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