Ina Krämer

4.8k citations
64 papers · 3.3k · h-index 31

Impact in

Papers in

Ina Krämer

61 papers receiving 3.2k citations

Peers

Ina Krämer
Comparison fields: 5 of 130
  • Orthopedics and Sports Medicine 675
  • Nephrology 209
  • Developmental Neuroscience 115
  • Rheumatology 399
  • Oncology 716
Replace Gabriela G. Loots with:
Gabriela G. Loots United States
Mark A. Thiede United States
Akira Nifuji Japan
Agnès Vignery United States
Luc Malaval France
B Noble United Kingdom
T. Michael Underhill Canada
Anthony Celeste United States
Wenzhong Liu China
Susanne Grässel Germany
Ina Krämer relative to Gabriela G. Loots United States Gabriela G. Loots's profile →
Citations per field
00.5×1.5×2.2×
Gabriela G. Loots · 1×
Citations per year

Countries citing papers authored by Ina Krämer

Since Specialization
Citations

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

Fields of papers citing papers by Ina Krämer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010444
2 2009201
3 2007199
4 2006196
5 2003173
6 1999127
7 2017118
8 1999110
9 2016103
10 201497
11 201494
12 201492
13 201086
14 201684
15 201879
16 201678
17 201169
18 201363
19 200958
20 201754

About Ina Krämer

Ina Krämer is a scholar working on Molecular Biology, Orthopedics and Sports Medicine, Oncology, Genetics and Rheumatology, having authored 64 papers that have together received 3.3k indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (15 papers), Bone health and osteoporosis research (14 papers), Bone health and treatments (13 papers), Connective tissue disorders research (8 papers), Wnt/β-catenin signaling in development and cancer (5 papers), Genomics and Phylogenetic Studies (5 papers), Osteoarthritis Treatment and Mechanisms (4 papers) and Parathyroid Disorders and Treatments (4 papers). The work is most often cited by research in Orthopedics and Sports Medicine (675 citations), Nephrology (209 citations), Developmental Neuroscience (115 citations), Rheumatology (399 citations) and Oncology (716 citations). Ina Krämer has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Michaela Kneissel, H. J. Keller, Christine Halleux, Silvia Arber, Gabriela G. Loots, Olivier Leupin, Thomas M. Jessell, Erko Stackebrandt, Jonathan H. Gooi and Jian Q. Feng. Their work appears in journals such as Journal of Bone and Mineral Research, Bone, Calcified Tissue International, INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY and European Cells and Materials.

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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