Timothy J. McDonald

20.6k citations
317 papers · 9.3k indexed · 1 hit paper · h-index 48

Timothy J. McDonald

309 papers receiving 8.9k citations

Hit Papers

Characterization of a gastrin releasing peptide from porc...7411979202619942010200400600

Peers

Timothy J. McDonald
Comparison fields: 5 of 184
  • Endocrinology, Diabetes and Metabolism 2.8k
  • Cellular and Molecular Neuroscience 2.1k
  • Genetics 2.8k
  • Surgery 3.5k
  • Endocrine and Autonomic Systems 521
Replace Shigeaki Kato with:
Shigeaki Kato Japan
Anita Aperia Sweden
James M. Roberts United States
Rolf Zetterström Sweden
Tai C. Chen United States
Braxton D. Mitchell United States
Virginia M. Miller United States
Rajiv Kumar United States
Joost G.J. Hoenderop Netherlands
Laurence M. Demers United States
Timothy J. McDonald relative to Shigeaki Kato Japan Shigeaki Kato's profile →
Citations per field
00.5×1.5×
Shigeaki Kato · 1×
Citations per year

Countries citing papers authored by Timothy J. McDonald

Since Specialization
Citations

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

Fields of papers citing papers by Timothy J. McDonald

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Timothy J. McDonald. 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 Timothy J. McDonald. The network helps show where Timothy J. McDonald may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20241
3 202314
4 20228
5 20226
6 20217
7 202156
8 20205
9
Agalsidase-Beta Therapy for Advanced Fabry Disease
20201
10 201838
11 201875
12 201826
13 200425
14
The False Promise of Vouchers.
20023
15 1999105
16 19791
17 19781
18 19768
19 19764
20 197011

About Timothy J. McDonald

Timothy J. McDonald is a scholar working on Endocrinology, Diabetes and Metabolism, Cellular and Molecular Neuroscience and Genetics, having authored 317 papers that have together received 9.3k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (73 papers), Diabetes and associated disorders (67 papers), Diabetes Management and Research (61 papers), Neuropeptides and Animal Physiology (51 papers), Diabetes Treatment and Management (23 papers), Birth, Development, and Health (22 papers), Receptor Mechanisms and Signaling (15 papers) and Hyperglycemia and glycemic control in critically ill and hospitalized patients (13 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.8k citations), Cellular and Molecular Neuroscience (2.1k citations) and Genetics (2.8k citations). Timothy J. McDonald has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Andrew T. Hattersley, Beverley M. Shields, M.A. Ghatei, Viktor Mutt, Sian Ellard, Angus G. Jones, M Vagne, Göran Nilsson, Stephen R. Bloom and Hans Jörnvall. Their work appears in journals such as SHILAP Revista de lepidopterología, Nano Letters and Annals of Internal Medicine.

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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