Getnet Midekessa

706 citations
13 papers · 515 indexed · 1 hit paper · h-index 8
Topics
Extracellular vesicles in disease (12 papers)Reproductive System and Pregnancy (5 papers)Pregnancy and preeclampsia studies (3 papers)

In The Last Decade

Getnet Midekessa

12 papers receiving 514 citations

Hit Papers

Zeta Potential of Extracellular Vesicles: Toward Understa...20202026202220242020100200300

Peers

Getnet Midekessa
Comparison fields: 5 of 100
  • Molecular Biology 368
  • Cancer Research 125
  • Immunology 99
  • Biomedical Engineering 92
  • Materials Chemistry 49
Replace Maryam Derakhshan with:
Maryam Derakhshan Iran
Amlan Chakraborty Australia
Keerthie Dissanayake Estonia
Janeli Viil Estonia
Yunchun Zhao China
Kasun Godakumara Estonia
Javier Donoso‐Quezada Mexico
Zhixin Ling China
Huanhuan Guo China
Getnet Midekessa relative to Maryam Derakhshan Iran Maryam Derakhshan's profile →
Citations per field
00.5×
Maryam Derakhshan · 1×
Citations per year

Countries citing papers authored by Getnet Midekessa

Since Specialization
Citations

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

Fields of papers citing papers by Getnet Midekessa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Getnet Midekessa

This figure shows the co-authorship network connecting the top 25 collaborators of Getnet Midekessa. A scholar is included among the top collaborators of Getnet Midekessa 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 Getnet Midekessa. Getnet Midekessa 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
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2 0
3 4
4 3
5 9
6 9
7 8
8 11
9 15
10 14
11
Zeta Potential of Extracellular Vesicles: Toward Understanding the Attributes that Determine Colloidal Stabilitybreakdown →
385
12 50
13 5

About Getnet Midekessa

Getnet Midekessa is a scholar working on Obstetrics and Gynecology, Immunology and Cancer Research, having authored 13 papers that have together received 515 indexed citations. Recurring topics across this work include Extracellular vesicles in disease (12 papers), Reproductive System and Pregnancy (5 papers) and Pregnancy and preeclampsia studies (3 papers). The work is most often cited by research in Cancer Research (125 citations), Obstetrics and Gynecology (43 citations) and Molecular Biology (368 citations). Getnet Midekessa has collaborated with scholars based in Estonia, United Kingdom and Poland. Frequent co-authors include Alireza Fazeli, Keerthie Dissanayake, Kasun Godakumara, Aneta Andronowska, Freddy Lättekivi, Janeli Viil, Sourav Bhattacharjee, Toonika Rinken, James Ord and Sergei Kopanchuk. Their work appears in journals such as International Journal of Molecular Sciences, Journal of Dairy Science and Frontiers in 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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