Melissa A. Kacena

4.8k citations
169 papers · 3.5k indexed · h-index 33
Topics
Hematopoietic Stem Cell Transplantation (22 papers)Bone Metabolism and Diseases (21 papers)Bone fractures and treatments (21 papers)

In The Last Decade

Melissa A. Kacena

161 papers receiving 3.4k citations

Peers

Melissa A. Kacena
Comparison fields: 5 of 170
  • Molecular Biology 1.1k
  • Hematology 676
  • Genetics 574
  • Physiology 563
  • Oncology 513
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
00.5×1.5×
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 of co-authors of Melissa A. Kacena

This figure shows the co-authorship network connecting the top 25 collaborators of Melissa A. Kacena. A scholar is included among the top collaborators of Melissa A. Kacena 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 Melissa A. Kacena. Melissa A. Kacena 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
#WorkIndexed citations
1 8
2 17
3 13
4 1
5 1
6
Osteoclast-mediated bone loss observed in a COVID-19 mouse model
2
7 6
8 12
9 6
10
Skeletal adaptations in young male mice after 4 weeks aboard the International Space Station
1
11
Authorship Trends Over the Past 30-Years in the Annals of Biomedical Engineering
0
12 45
13 25
14 10
15
Cohousing Male Mice with and without Segmental Bone Defects
1
16 19
17 22
18 14
19 55
20 19

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) and Bone fractures and treatments (21 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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