Fredda Ginsberg‐Fellner

3.2k citations
71 papers · 2.3k indexed · h-index 26
Topics
Diabetes and associated disorders (38 papers)Pancreatic function and diabetes (28 papers)Diabetes Management and Research (19 papers)
Partner nations
United StatesFranceSpain

In The Last Decade

Fredda Ginsberg‐Fellner

70 papers receiving 2.1k citations

Peers

Fredda Ginsberg‐Fellner
Comparison fields: 5 of 106
  • Genetics 1.1k
  • Endocrinology, Diabetes and Metabolism 980
  • Surgery 761
  • Physiology 463
  • Immunology 336
Replace L. J. P. Duncan with:
L. J. P. Duncan United Kingdom
Aldo Galluzzo Italy
William J. Riley United States
Ulrich M. Vischer Switzerland
Alan D. Stiles United States
Eleanor Colle Canada
Joan Soler Spain
G Cathelineau France
Sonia Toni Italy
Daniel H. Mintz United States
Fredda Ginsberg‐Fellner relative to L. J. P. Duncan United Kingdom L. J. P. Duncan's profile →
Citations per field
00.5×1.5×2.0×
L. J. P. Duncan · 1×
Citations per year

Countries citing papers authored by Fredda Ginsberg‐Fellner

Since Specialization
Citations

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

Fields of papers citing papers by Fredda Ginsberg‐Fellner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fredda Ginsberg‐Fellner. 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 Fredda Ginsberg‐Fellner. The network helps show where Fredda Ginsberg‐Fellner may publish in the future.

Co-authorship network of co-authors of Fredda Ginsberg‐Fellner

This figure shows the co-authorship network connecting the top 25 collaborators of Fredda Ginsberg‐Fellner. A scholar is included among the top collaborators of Fredda Ginsberg‐Fellner 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 Fredda Ginsberg‐Fellner. Fredda Ginsberg‐Fellner 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 6
2 3
3 10
4 14
5 42
6 2
7 1
8 5
9 13
10 8
11 13
12 97
13 45
14 25
15 58
16 34
17 41
18 25
19 34
20 7

About Fredda Ginsberg‐Fellner

Fredda Ginsberg‐Fellner is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Surgery, having authored 71 papers that have together received 2.3k indexed citations. Recurring topics across this work include Diabetes and associated disorders (38 papers), Pancreatic function and diabetes (28 papers) and Diabetes Management and Research (19 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (980 citations), Genetics (1.1k citations) and Physiology (463 citations). Fredda Ginsberg‐Fellner has collaborated with scholars based in United States, France and Spain. Frequent co-authors include Jerome L. Knittle, Abner Louis Notkins, Michael J. Dobersen, Roy Brown, David P. Katz, K. I. Timmers, Joshua Scharff, Robert C. McEvoy, P Rubinstein and Mary E. Witt. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and JAMA.

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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