Ella Ekholm

575 citations
14 papers · 467 indexed · h-index 9
Topics
Diabetes Treatment and Management (11 papers)Pancreatic function and diabetes (9 papers)Diabetes Management and Research (7 papers)
Partner nations
SwedenUnited StatesJapan

In The Last Decade

Ella Ekholm

14 papers receiving 444 citations

Peers

Ella Ekholm
Comparison fields: 5 of 64
  • Endocrinology, Diabetes and Metabolism 345
  • Surgery 219
  • Molecular Biology 208
  • Physiology 86
  • Pulmonary and Respiratory Medicine 76
Replace Huub J. van Eyk with:
Huub J. van Eyk Netherlands
Michael G. White United Kingdom
Heiner Boeing Germany
Mona Hafez Egypt
Paris Roach United States
Phil Ambery United Kingdom
Chia‐Hui Chang Taiwan
Marissa Lightbourne United States
Samuel J. P. Malkin Denmark
Sergio Di Molfetta Italy
Ella Ekholm relative to Huub J. van Eyk Netherlands Huub J. van Eyk's profile →
Citations per field
00.5×10×15.3×
Huub J. van Eyk · 1×
Citations per year

Countries citing papers authored by Ella Ekholm

Since Specialization
Citations

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

Fields of papers citing papers by Ella Ekholm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ella Ekholm

This figure shows the co-authorship network connecting the top 25 collaborators of Ella Ekholm. A scholar is included among the top collaborators of Ella Ekholm 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 Ella Ekholm. Ella Ekholm 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 5
2 11
3 8
4 1
5 1
6 8
7 22
8
A Randomized, Double-Blind, Phase 3 Trial of Dapagliflozin Add-on to Saxagliptin plus Metformin in Type 2 Diabetes
2
9 125
10 77
11 40
12 52
13 80
14 35

About Ella Ekholm

Ella Ekholm is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Animal Science and Zoology, having authored 14 papers that have together received 467 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (11 papers), Pancreatic function and diabetes (9 papers) and Diabetes Management and Research (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (345 citations), Surgery (219 citations) and Physiology (86 citations). Ella Ekholm has collaborated with scholars based in Sweden, United States and Japan. Frequent co-authors include Boaz Hirshberg, Nayyar Iqbal, Lars Hansen, W. James Cook, Hungta Chen, Chantal Mathieu, Aurelian-Emil Ranetti, Danshi Li, Eva Johnsson and Michael Schätz. Their work appears in journals such as Diabetes Care, Diabetes and CHEST Journal.

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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