Melissa A. Kacena

4.8k citations
169 papers · 3.5k indexed · h-index 33

Melissa A. Kacena

161 papers receiving 3.4k citations

Peers

Melissa A. Kacena
Comparison fields: 5 of 170
  • Health Informatics 117
  • Hematology 676
  • Genetics 574
  • Orthopedics and Sports Medicine 425
  • Aging 42
Replace Leslie E. Silberstein with:
Leslie E. Silberstein United States
Qiubai Li China
Jing Yan China
Alexander Schramm Germany
Axel J. Hueber Germany
Ricardo D. Coletta Brazil
Helena Kuivaniemi United States
Sanjay Kumar India
Dianna M. Milewicz United States
Jørgen Johansen Denmark
Melissa A. Kacena relative to Leslie E. Silberstein United States Leslie E. Silberstein's profile →
Citations per field
00.5×7.0×
Leslie E. Silberstein · 1×
Citations per year

Countries citing papers authored by Melissa A. Kacena

Since Specialization
Citations

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

Fields of papers citing papers by Melissa A. Kacena

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Melissa A. Kacena. 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 Melissa A. Kacena. The network helps show where Melissa A. Kacena may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20248
2 202417
3 202413
4 20241
5 20221
6
Osteoclast-mediated bone loss observed in a COVID-19 mouse model
20222
7 20216
8 202112
9 20206
10
Skeletal adaptations in young male mice after 4 weeks aboard the International Space Station
20191
11
Authorship Trends Over the Past 30-Years in the Annals of Biomedical Engineering
20190
12 201945
13 201825
14 201810
15
Cohousing Male Mice with and without Segmental Bone Defects
20181
16 201819
17 201622
18 201414
19 201055
20 200419

About Melissa A. Kacena

Melissa A. Kacena is a scholar working on Health Informatics, Hematology and Orthopedics and Sports Medicine, having authored 169 papers that have together received 3.5k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (22 papers), Bone Metabolism and Diseases (21 papers), Bone fractures and treatments (21 papers), Spaceflight effects on biology (20 papers), Bone health and treatments (15 papers), Bone health and osteoporosis research (13 papers), Mesenchymal stem cell research (13 papers) and TGF-β signaling in diseases (11 papers). The work is most often cited by research in Health Informatics (117 citations), Hematology (676 citations) and Genetics (574 citations). Melissa A. Kacena has collaborated with scholars based in United States, Brazil and Netherlands. Frequent co-authors include Mark C. Horowitz, Edward F. Srour, Brahmananda R. Chitteti, Paul Todd, Caren M. Gundberg, Yougen Xi, Jill C. Fehrenbacher, Nancy Troiano, Keith T. Wilson and Michael Horowitz. Their work appears in journals such as Journal of Biological Chemistry, Blood and PLoS ONE.

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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