Diana Maas

1.3k total citations
19 papers, 987 citations indexed

About

Diana Maas is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology and Molecular Biology. According to data from OpenAlex, Diana Maas has authored 19 papers receiving a total of 987 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Endocrinology, Diabetes and Metabolism, 6 papers in Epidemiology and 5 papers in Molecular Biology. Recurrent topics in Diana Maas's work include Growth Hormone and Insulin-like Growth Factors (6 papers), Pituitary Gland Disorders and Treatments (5 papers) and Regulation of Appetite and Obesity (4 papers). Diana Maas is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (6 papers), Pituitary Gland Disorders and Treatments (5 papers) and Regulation of Appetite and Obesity (4 papers). Diana Maas collaborates with scholars based in United States, Netherlands and Japan. Diana Maas's co-authors include Albert P. Philipse, Gabriele E. Sonnenberg, Ahmed H. Kissebah, M. Anwar Iqbal, Hosam K. Kamel, Edmund H. Duthie, Glenn R. Krakower, Raymond G. Hoffmann, Anthony G. Comuzzie and Anne E. Kwitek and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Diabetes and Langmuir.

In The Last Decade

Diana Maas

18 papers receiving 952 citations

Peers

Diana Maas
Comparison fields: 5 of 108
  • Epidemiology 323
  • Physiology 317
  • Endocrine and Autonomic Systems 211
  • Surgery 198
  • Cardiology and Cardiovascular Medicine 177
Replace Christopher R. Wilson with:
Christopher R. Wilson United States
Yoon Jung Kim South Korea
Ádám Domonkos Tárnoki Hungary
Dávid László Tárnoki Hungary
Pekka Kääpä Finland
Barry E. Chatterton Australia
Göran Settergren Sweden
J P Szidon United States
Christian Reinke Germany
David Schwartz United States
Christopher R. Wilson United States View profile →
Citations per field, relative to Diana Maas
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Citations per year, relative to Diana Maas
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Countries citing papers authored by Diana Maas

Since Specialization
Citations

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

Fields of papers citing papers by Diana Maas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diana Maas

This figure shows the co-authorship network connecting the top 25 collaborators of Diana Maas. A scholar is included among the top collaborators of Diana Maas 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 Diana Maas. Diana Maas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
# Work Indexed citations
1 1
2 10
3 5
4
"My rings won't fit anymore". Ectopic growth hormone-secreting tumor.
6
5 212
6 98
7 180
8 35
9 255
10 21
11 19
12 3
13 117
14 2
15 2
16 14
17 5
18 2
19
[Wegener's granulomatosis. Clinical, immunological and autopsy findings].
0

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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