J. A. H. Wass

3.2k citations
63 papers · 2.4k indexed · h-index 28
Topics
Pituitary Gland Disorders and Treatments (29 papers)Growth Hormone and Insulin-like Growth Factors (28 papers)Neuroendocrine Tumor Research Advances (10 papers)

In The Last Decade

J. A. H. Wass

59 papers receiving 2.2k citations

Peers

J. A. H. Wass
Comparison fields: 5 of 82
  • Endocrinology, Diabetes and Metabolism 1.8k
  • Surgery 678
  • Epidemiology 498
  • Molecular Biology 352
  • Genetics 236
Replace Raymond V. Randall with:
Raymond V. Randall United States
Glen W. Sizemore United States
Jean‐Louis Sadoul France
JP Monson United Kingdom
Anna Angelousi Greece
J. D. N. Nabarro United States
M O Savage United Kingdom
Paola Loli Italy
Alessandra De Remigis United States
Giovanni Lupoli Italy
J. A. H. Wass relative to Raymond V. Randall United States Raymond V. Randall's profile →
Citations per field
00.5×1.5×1.8×
Raymond V. Randall · 1×
Citations per year

Countries citing papers authored by J. A. H. Wass

Since Specialization
Citations

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

Fields of papers citing papers by J. A. H. Wass

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. A. H. Wass. 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 J. A. H. Wass. The network helps show where J. A. H. Wass may publish in the future.

Co-authorship network of co-authors of J. A. H. Wass

This figure shows the co-authorship network connecting the top 25 collaborators of J. A. H. Wass. A scholar is included among the top collaborators of J. A. H. Wass 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 J. A. H. Wass. J. A. H. Wass 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
#WorkIndexed citations
1 11
2
Autoimmune hypoadrenalism: the profile of related conditions
1
3
Autoimmune hypoadrenalism: symptoms at diagnosis
1
4 152
5 54
6 63
7 2
8 74
9 80
10 9
11 42
12 92
13 67
14 26
15 37
16 12
17 70
18 20
19 29
20 87

About J. A. H. Wass

J. A. H. Wass is a scholar working on Endocrinology, Diabetes and Metabolism, Reproductive Medicine and Neurology, having authored 63 papers that have together received 2.4k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (29 papers), Growth Hormone and Insulin-like Growth Factors (28 papers) and Neuroendocrine Tumor Research Advances (10 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.8k citations), Genetics (236 citations) and Surgery (678 citations). J. A. H. Wass has collaborated with scholars based in United Kingdom, United States and Czechia. Frequent co-authors include G. M. Besser, G. M. Besser, Ashley Grossman, Lesley Rees, Maggie Carson, R. H. Dowling, Jeff M.P. Holly, P Jenkins, Michael Charlesworth and Paul J. Jenkins. Their work appears in journals such as The Lancet, The Journal of Clinical Endocrinology & Metabolism and Gut.

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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