E Hägg

2.4k citations
38 papers · 1.8k · h-index 16

Impact in

Papers in

E Hägg

37 papers receiving 1.7k citations

Peers

E Hägg
Comparison fields: 5 of 108
  • Endocrinology, Diabetes and Metabolism 635
  • Rehabilitation 152
  • Behavioral Neuroscience 74
  • Neurology 254
  • Epidemiology 489
Replace Kwang‐Yeol Park with:
Kwang‐Yeol Park South Korea
Chongke Zhong China
Markku J. Ikäheimo Finland
Kyra E. Pyke Canada
Michael World United Kingdom
A Schirger United States
Joon‐Tae Kim South Korea
Jingzhong Ding United States
Eliza B. Geer United States
Francesco Milone Italy
E Hägg relative to Kwang‐Yeol Park South Korea Kwang‐Yeol Park's profile →
Citations per field
00.5×5.3×
Kwang‐Yeol Park · 1×
Citations per year

Countries citing papers authored by E Hägg

Since Specialization
Citations

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

Fields of papers citing papers by E Hägg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside E Hägg, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with E Hägg Line = papers co-authored together E Hägg links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995232
2 1996196
3 1985182
4 1987180
5 1993150
6 1991130
7 1984109
8 1987103
9 199175
10
Salivary flow rate and salivary glucose concentration in patients with diabetes mellitus influence of severity of diabetes.
198857
11
Clinical characteristics in diabetic stroke patients.
198852
12 199947
13 198645
14 200134
15 198727
16 198726
17 199015
18 197814
19 198414
20 200213

About E Hägg

E Hägg is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology, Pulmonary and Respiratory Medicine, Genetics and Surgery, having authored 38 papers that have together received 1.8k indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (8 papers), Diabetes and associated disorders (5 papers), Adrenal Hormones and Disorders (4 papers), Neurological Disorders and Treatments (4 papers), Stress Responses and Cortisol (4 papers), Traumatic Brain Injury and Neurovascular Disturbances (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers) and Cerebrovascular and Carotid Artery Diseases (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (635 citations), Rehabilitation (152 citations), Behavioral Neuroscience (74 citations), Neurology (254 citations) and Epidemiology (489 citations). E Hägg has collaborated with scholars based in Sweden, United States and United Kingdom. Frequent co-authors include Kjell Asplund, Folke Lithner, Bo Carlberg, Tommy Olsson, T Strand, Sigbritt Rasmuson, P O Wester, Sven‐Erik Eriksson, Pia Burman and Jerker Hetta. Their work appears in journals such as Journal of Internal Medicine, Stroke, Clinical Endocrinology, Acta Neurologica Scandinavica and The Journal of Clinical Endocrinology & Metabolism.

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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