Grażyna E. Sroga

2.0k citations
41 papers · 1.7k · h-index 21

Impact in

Papers in

Grażyna E. Sroga

41 papers receiving 1.6k citations

Peers

Grażyna E. Sroga
Comparison fields: 5 of 115
  • Orthopedics and Sports Medicine 634
  • Clinical Biochemistry 245
  • Rheumatology 233
  • Molecular Biology 690
  • Endocrinology, Diabetes and Metabolism 136
Replace Sonja Gamsjaeger with:
Sonja Gamsjaeger Austria
John S. Brand United States
Keith Alvares United States
Qing Tian China
G.A. Partington United Kingdom
Jukka Hellman Finland
Tomohiko Yoshida Japan
Ignacio Rego‐Pérez Spain
Benjamin Klein Israel
Hiroshi Saito Japan
Grażyna E. Sroga relative to Sonja Gamsjaeger Austria Sonja Gamsjaeger's profile →
Citations per field
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Citations per year

Countries citing papers authored by Grażyna E. Sroga

Since Specialization
Citations

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

Fields of papers citing papers by Grażyna E. Sroga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Grażyna E. Sroga. 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 Grażyna E. Sroga. The network helps show where Grażyna E. Sroga may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012224
2 2012152
3 2015131
4 2013107
5 2019101
6 201189
7 201876
8 199275
9 201769
10 202053
11 199552
12 199248
13 201243
14 202043
15 201543
16 201836
17 201136
18 199635
19 201730
20 201523

About Grażyna E. Sroga

Grażyna E. Sroga is a scholar working on Molecular Biology, Orthopedics and Sports Medicine, Clinical Biochemistry, Rheumatology and Physiology, having authored 41 papers that have together received 1.7k indexed citations. Recurring topics across this work include Bone health and osteoporosis research (18 papers), Bone and Dental Protein Studies (9 papers), Advanced Glycation End Products research (9 papers), Bone Metabolism and Diseases (7 papers), Biochemical effects in animals (3 papers), Plant Reproductive Biology (3 papers), Plant tissue culture and regeneration (3 papers) and Enzyme Structure and Function (2 papers). The work is most often cited by research in Orthopedics and Sports Medicine (634 citations), Clinical Biochemistry (245 citations), Rheumatology (233 citations), Molecular Biology (690 citations) and Endocrinology, Diabetes and Metabolism (136 citations). Grażyna E. Sroga has collaborated with scholars based in United States, Germany and Sweden. Frequent co-authors include Deepak Vashishth, Atharva A. Poundarik, Anı Ural, Lamya Karim, Bengt Mannervik, Simon Y. Tang, Caren M. Gundberg, Adele L. Boskey, Tamim Diab and R H Kolm. Their work appears in journals such as Bone, Journal of Bone and Mineral Research, JBMR Plus, Biotechnology and Bioengineering and Plant Science.

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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