Geda Unabia

2.5k total citations
43 papers, 2.2k citations indexed

About

Geda Unabia is a scholar working on Endocrinology, Diabetes and Metabolism, Public Health, Environmental and Occupational Health and Reproductive Medicine. According to data from OpenAlex, Geda Unabia has authored 43 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Endocrinology, Diabetes and Metabolism, 11 papers in Public Health, Environmental and Occupational Health and 10 papers in Reproductive Medicine. Recurrent topics in Geda Unabia's work include Growth Hormone and Insulin-like Growth Factors (17 papers), Reproductive Biology and Fertility (10 papers) and Stress Responses and Cortisol (9 papers). Geda Unabia is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (17 papers), Reproductive Biology and Fertility (10 papers) and Stress Responses and Cortisol (9 papers). Geda Unabia collaborates with scholars based in United States, Vietnam and Germany. Geda Unabia's co-authors include Gwen V. Childs, Claire E. Hulsebosch, Young Seob Gwak, Jonghoon Kang, Jonathan M. Lloyd, Kathia M. Johnson, J. R. Perez‐Polo, Karin N. Westlund, Ping Wu and William W. Chin and has published in prestigious journals such as Pain, Endocrinology and Neuroscience.

In The Last Decade

Geda Unabia

42 papers receiving 2.1k citations

Peers

Geda Unabia
Comparison fields: 5 of 105
  • Endocrinology, Diabetes and Metabolism 629
  • Molecular Biology 591
  • Physiology 491
  • Cellular and Molecular Neuroscience 387
  • Pathology and Forensic Medicine 382
Replace Susana González with:
Susana González Argentina
Florencia Labombarda Argentina
Marı́a Claudia González Deniselle Argentina
Franck Oury France
Bernard Eychenne France
Daniel García‐Ovejero Spain
Jesús Devesa Spain
Margaret A. Vizzard United States
Kristine M. Wiren United States
Yoshihiro Tsuruo Japan
Susana González Argentina View profile →
Citations per field, relative to Geda Unabia
Geda Unabia · 1×
Citations per year, relative to Geda Unabia
Geda Unabia · 1×

Countries citing papers authored by Geda Unabia

Since Specialization
Citations

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

Fields of papers citing papers by Geda Unabia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Geda Unabia

This figure shows the co-authorship network connecting the top 25 collaborators of Geda Unabia. A scholar is included among the top collaborators of Geda Unabia 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 Geda Unabia. Geda Unabia 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
# Work Indexed citations
1 83
2 214
3 29
4 47
5 138
6 29
7 24
8 33
9 74
10 27
11 17
12 33
13 13
14 35
15 51
16 31
17 44
18 59
19
Identification of Living Pituitary Cells with Biotin-Labeled Ligands and Avidin Fluorescein.
1
20 25

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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