Makinna Oestreich

750 citations
13 papers · 190 indexed · h-index 9
Topics
Radiomics and Machine Learning in Medical Imaging (3 papers)Herpesvirus Infections and Treatments (3 papers)Hormonal and reproductive studies (2 papers)

In The Last Decade

Makinna Oestreich

12 papers receiving 189 citations

Peers

Makinna Oestreich
Comparison fields: 5 of 54
  • Genetics 80
  • Epidemiology 64
  • Surgery 57
  • Pulmonary and Respiratory Medicine 25
  • Animal Science and Zoology 20
Replace Beatríz de León-Bojorge with:
Beatríz de León-Bojorge Mexico
Laura Iaccheri Italy
Miranda M Jalouli Sweden
Katherine Masek-Hammerman United States
Michael Lanuti United States
Kohei Aoki Japan
Carlos Dias Portugal
Yun‐Fei Zhang China
Aiko Okazaki Japan
Cullen M. Dutmer United States
Makinna Oestreich relative to Beatríz de León-Bojorge Mexico Beatríz de León-Bojorge's profile →
Citations per field
00.5×10×
Beatríz de León-Bojorge · 1×
Citations per year

Countries citing papers authored by Makinna Oestreich

Since Specialization
Citations

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

Fields of papers citing papers by Makinna Oestreich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Makinna Oestreich

This figure shows the co-authorship network connecting the top 25 collaborators of Makinna Oestreich. A scholar is included among the top collaborators of Makinna Oestreich 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 Makinna Oestreich. Makinna Oestreich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 9
2 5
3 5
4 9
5 0
6 10
7 9
8 51
9 8
10 36
11 2
12 37
13 9

About Makinna Oestreich

Makinna Oestreich is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Genetics, having authored 13 papers that have together received 190 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (3 papers), Herpesvirus Infections and Treatments (3 papers) and Hormonal and reproductive studies (2 papers). The work is most often cited by research in Virology (14 citations), Genetics (80 citations) and Animal Science and Zoology (20 citations). Makinna Oestreich has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Raymond Tse, Ezgi Mercan, Robert John William Knight, Thomas Samson, Damir B. Matic, Lesia Dropulic, Jeffrey I. Cohen, Keith Lumbard, David M. Fisher and Niranjan Sathianathen. Their work appears in journals such as Journal of Clinical Oncology, Cochrane Database of Systematic Reviews and The Journal of Infectious Diseases.

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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