Gerhard Hawa

1.3k total citations
32 papers, 1.0k citations indexed

About

Gerhard Hawa is a scholar working on Molecular Biology, Oncology and Orthopedics and Sports Medicine. According to data from OpenAlex, Gerhard Hawa has authored 32 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 10 papers in Oncology and 6 papers in Orthopedics and Sports Medicine. Recurrent topics in Gerhard Hawa's work include Bone Metabolism and Diseases (11 papers), Bone health and treatments (9 papers) and Bone health and osteoporosis research (5 papers). Gerhard Hawa is often cited by papers focused on Bone Metabolism and Diseases (11 papers), Bone health and treatments (9 papers) and Bone health and osteoporosis research (5 papers). Gerhard Hawa collaborates with scholars based in Austria, Germany and United States. Gerhard Hawa's co-authors include W. Woloszczuk, Agostino Gaudio, R. A. Mangiafico, Giovanni Tringali, Cornelia Bratengeier, Ivana Pulvirenti, Pietra Pennisi, Carmelo Erio Fiore, Lorenz C. Hofbauer and G Kolarz and has published in prestigious journals such as Blood, The Journal of Clinical Endocrinology & Metabolism and Analytical Biochemistry.

In The Last Decade

Gerhard Hawa

31 papers receiving 992 citations

Peers

Gerhard Hawa
Comparison fields: 5 of 96
  • Molecular Biology 423
  • Orthopedics and Sports Medicine 290
  • Oncology 249
  • Nephrology 202
  • Cardiology and Cardiovascular Medicine 127
Replace A. Cantagrel with:
A. Cantagrel France
Yukai Huang China
Michael J. Pitt United States
Kazuhiro Yokota Japan
Björn Jobke Germany
Thomas Shpitzer Israel
Leonardo Mellibovsky Spain
Natalia Maldonado United States
J.S. Kuliwaba Australia
A. Cantagrel France View profile →
Citations per field, relative to Gerhard Hawa
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Citations per year, relative to Gerhard Hawa
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Countries citing papers authored by Gerhard Hawa

Since Specialization
Citations

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

Fields of papers citing papers by Gerhard Hawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gerhard Hawa

This figure shows the co-authorship network connecting the top 25 collaborators of Gerhard Hawa. A scholar is included among the top collaborators of Gerhard Hawa 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 Gerhard Hawa. Gerhard Hawa 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
Circulating noggin levels following treatment with denosumab or teriparatide in postmenopausal women with low bone mass.
0
2 11
3 4
4 1
5 20
6 69
7 43
8 30
9 134
10 15
11 53
12 65
13 4
14 39
15 13
16 16
17 2
18 12
19 3
20 19

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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