Daniel Granfeldt

487 citations
20 papers · 391 · h-index 10

Impact in

Papers in

Daniel Granfeldt

20 papers receiving 384 citations

Peers

Daniel Granfeldt
Comparison fields: 5 of 68
  • Endocrinology, Diabetes and Metabolism 130
  • Immunology 83
  • Immunology and Allergy 17
  • Sensory Systems 12
  • Cellular and Molecular Neuroscience 38
Replace Annie Giraud with:
Annie Giraud France
Åke Boketoft Sweden
Makoto Ichinose Japan
Oindrila Rahaman India
Leming Fan China
Mona A. Marie United States
V. Bodart Canada
Kenji Watari Japan
Richard D. Ye United States
Luca Monti Italy
Daniel Granfeldt relative to Annie Giraud France Annie Giraud's profile →
Citations per field
00.5×10×14×
Annie Giraud · 1×
Citations per year

Countries citing papers authored by Daniel Granfeldt

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Granfeldt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Granfeldt, 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 Daniel Granfeldt Line = papers co-authored together Daniel Granfeldt links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201875
2 200254
3 200545
4 201644
5 200343
6 200137
7 201220
8 202015
9 200613
10 201910
11 20069
12 20198
13 20065
14 20154
15 20193
16 20162
17 20231
18 20171
19 20161
20 20181

About Daniel Granfeldt

Daniel Granfeldt is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology, Immunology, Molecular Biology and Oncology, having authored 20 papers that have together received 391 indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (5 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers), Lung Cancer Research Studies (3 papers), Neuroendocrine Tumor Research Advances (3 papers), Nitric Oxide and Endothelin Effects (2 papers), S100 Proteins and Annexins (2 papers), Pancreatic and Hepatic Oncology Research (2 papers) and Immune Response and Inflammation (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (130 citations), Immunology (83 citations), Immunology and Allergy (17 citations), Sensory Systems (12 citations) and Cellular and Molecular Neuroscience (38 citations). Daniel Granfeldt has collaborated with scholars based in Sweden and France. Frequent co-authors include Anna Karlsson, Cláes Dahlgren, Daniel S Olsson, Gudmundur Johannsson, Daniela Espósito, Óskar Ragnarsson, Jon Sinclair, Owe Orwar, Johan Bylund and Åse Björstad. Their work appears in journals such as European Journal of Endocrinology, Value in Health, BioMed Research International, Analytical Chemistry and Proceedings of the National Academy of Sciences.

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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