Gabrielle Gossner

459 citations
14 papers · 389 indexed · h-index 10
Topics
Ovarian cancer diagnosis and treatment (5 papers)PARP inhibition in cancer therapy (3 papers)Sirtuins and Resveratrol in Medicine (2 papers)
Partner nations
United StatesGuatemala

In The Last Decade

Gabrielle Gossner

14 papers receiving 382 citations

Peers

Gabrielle Gossner
Comparison fields: 5 of 77
  • Molecular Biology 177
  • Cancer Research 70
  • Pathology and Forensic Medicine 62
  • Epidemiology 60
  • Oncology 58
Replace Yong‐Tark Jeon with:
Yong‐Tark Jeon South Korea
Xiaodan Sun China
Prabodh K. Kandala United States
Kazunori Saeki Japan
Ana Nedeljkovic-Kurepa United States
Giulio Isola Italy
Viviana Roman Romania
Junqin Yang China
Wen‐Juan Sun China
Guifang Zhu China
Gabrielle Gossner relative to Yong‐Tark Jeon South Korea Yong‐Tark Jeon's profile →
Citations per field
00.5×
Yong‐Tark Jeon · 1×
Citations per year

Countries citing papers authored by Gabrielle Gossner

Since Specialization
Citations

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

Fields of papers citing papers by Gabrielle Gossner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabrielle Gossner

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

All Works

14 of 14 papers shown
#WorkIndexed citations
1 3
2 1
3 1
4 61
5 1
6 18
7 47
8 25
9 32
10 13
11 142
12 17
13 18
14 10

About Gabrielle Gossner

Gabrielle Gossner is a scholar working on Reproductive Medicine, Geriatrics and Gerontology and Obstetrics and Gynecology, having authored 14 papers that have together received 389 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (5 papers), PARP inhibition in cancer therapy (3 papers) and Sirtuins and Resveratrol in Medicine (2 papers). The work is most often cited by research in Geriatrics and Gerontology (44 citations), Reproductive Medicine (58 citations) and Obstetrics and Gynecology (51 citations). Gabrielle Gossner has collaborated with scholars based in United States and Guatemala. Frequent co-authors include Kendall C. Griffith, Myung Suk Choi, Jinxin Liu, Sarah Fogoros, Liming Tan, Heather Wahl, J. Rebecca Liu, Angela Kueck, William M. Burke and Malti Kshirsagar. Their work appears in journals such as Cancer, American Journal of Obstetrics and Gynecology and European Journal of Cancer.

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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