Daniel Espes

1.8k total citations
59 papers, 1.4k citations indexed

About

Daniel Espes is a scholar working on Surgery, Genetics and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Daniel Espes has authored 59 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Surgery, 33 papers in Genetics and 29 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Daniel Espes's work include Diabetes and associated disorders (32 papers), Pancreatic function and diabetes (30 papers) and Diabetes Management and Research (20 papers). Daniel Espes is often cited by papers focused on Diabetes and associated disorders (32 papers), Pancreatic function and diabetes (30 papers) and Diabetes Management and Research (20 papers). Daniel Espes collaborates with scholars based in Sweden, United States and Finland. Daniel Espes's co-authors include Per‐Ola Carlsson, Joey Lau, Mats Martinell, Per‐Ola Carlsson, Olof Eriksson, K. N. Singh, Bryndis Birnir, Stellan Sandler, Zhe Jin and Amol K. Bhandage and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Diabetes Care.

In The Last Decade

Daniel Espes

55 papers receiving 1.3k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Daniel Espes	630	564	408	252	211	59	1.4k
Junji Fujikura	501 0.8×	469 0.8×	255 0.6×	159 0.6×	1.0k 4.8×	53	1.9k
Joana Almaça	775 1.2×	418 0.7×	471 1.2×	73 0.3×	641 3.0×	38	1.6k
K. Nonaka	434 0.7×	375 0.7×	474 1.2×	67 0.3×	423 2.0×	36	1.4k
Sylvie Durant	321 0.5×	264 0.5×	331 0.8×	70 0.3×	405 1.9×	46	1.4k
Junko Ono	717 1.1×	447 0.8×	469 1.1×	68 0.3×	523 2.5×	96	1.6k
Kari T. Chambers	495 0.8×	228 0.4×	162 0.4×	109 0.4×	594 2.8×	27	1.4k
Charlotta S. Olofsson	732 1.2×	286 0.5×	230 0.6×	79 0.3×	685 3.2×	39	1.4k
M Kikuchi	883 1.4×	513 0.9×	309 0.8×	52 0.2×	994 4.7×	54	2.0k
T Minnemann	393 0.6×	492 0.9×	107 0.3×	208 0.8×	849 4.0×	15	1.7k
Shun‐ichiro Asahara	598 0.9×	266 0.5×	188 0.5×	39 0.2×	733 3.5×	47	1.4k

Countries citing papers authored by Daniel Espes

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Espes

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Espes

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Liss, Per, et al.. (2025). Alterations of the pancreas in type 1 diabetes – from prior to diagnosis to long-standing disease. Endocrine. 90(1). 140–148. 1 indexed citations

Lundkvist, Per, et al.. (2025). Proximity extension assay inflammatory profiling cannot distinguish the presence of residual C-peptide in patients with long-standing type 1 diabetes. Acta Diabetologica. 62(11). 1987–1996. 1 indexed citations

Muntjewerff, Elke M., Theresa V. Rohm, Kechun Tang, et al.. (2025). Chromogranin A and catestatin regulate pancreatic islet homeostasis, endocrine function, and neurotransmitter signaling. Communications Biology. 8(1). 1684–1684.

Lundgren, Markus, et al.. (2024). Development of a three-dimensional scoring model for the assessment of continuous glucose monitoring data in type 1 diabetes. BMJ Open Diabetes Research & Care. 12(4). e004350–e004350. 1 indexed citations

Antoni, Gunnar, et al.. (2024). PET imaging of GABAA receptors in pancreatic islets by [11C]flumazenil. EJNMMI Research. 14(1).

Eklund, Gustav, José Caballero-Corbalán, Jarl Hellman, et al.. (2023). Classification of Hypoglycemic Events in Type 1 Diabetes Using Machine Learning Algorithms. Diabetes Therapy. 14(6). 953–965. 6 indexed citations

Lundkvist, Per, et al.. (2021). Endogenous Levels of Gamma Amino-Butyric Acid Are Correlated to Glutamic-Acid Decarboxylase Antibody Levels in Type 1 Diabetes. Biomedicines. 10(1). 91–91. 9 indexed citations

Espes, Daniel, Per‐Ola Carlsson, Ram Kumar Selvaraju, et al.. (2021). Longitudinal Assessment of 11C-5-Hydroxytryptophan Uptake in Pancreas After Debut of Type 1 Diabetes. Diabetes. 70(4). 966–975. 7 indexed citations

Espes, Daniel, et al.. (2020). Increased Plasma Levels of the Co-stimulatory Proteins CDCP1 and SLAMF1 in Patients With Autoimmune Endocrine Diseases. Frontiers in Immunology. 11. 1916–1916. 15 indexed citations

10.

Espes, Daniel, et al.. (2020). CART decreases islet blood flow, but has no effect on total pancreatic blood flow and glucose tolerance in anesthetized rats. Peptides. 135. 170431–170431. 4 indexed citations

11.

Espes, Daniel, Mark Lubberink, Olof Eriksson, et al.. (2016). Pancreatic perfusion and subsequent response to glucose in healthy individuals and patients with type 1 diabetes. Diabetologia. 59(9). 1968–1972. 16 indexed citations

12.

Jansson, Leif, Andreea Barbu, Birgitta Bodin, et al.. (2016). Pancreatic islet blood flow and its measurement. Upsala Journal of Medical Sciences. 121(2). 81–95. 120 indexed citations

13.

Espes, Daniel, et al.. (2016). Quantification of β-Cell Mass in Intramuscular Islet Grafts Using Radiolabeled Exendin-4. Transplantation Direct. 2(8). e93–e93. 12 indexed citations

14.

Velikyan, Irina, Ram Kumar Selvaraju, Daniel Espes, et al.. (2015). Dosimetry of [Ga-68]Ga-DO3A-VS-Cys(40)-Exendin-4 in rodents, pigs, non-human primates and human. Journal of Labelled Compounds and Radiopharmaceuticals. 58. 1 indexed citations

15.

Eriksson, Olof, Kirsi Mikkola, Daniel Espes, et al.. (2015). The Cannabinoid Receptor-1 Is an Imaging Biomarker of Brown Adipose Tissue. Journal of Nuclear Medicine. 56(12). 1937–1941. 23 indexed citations

16.

Espes, Daniel, et al.. (2015). Betatrophin in Diabetes Mellitus: the Epidemiological Evidence in Humans. Current Diabetes Reports. 15(12). 104–104. 14 indexed citations

17.

Singh, K. N., Marcus Hjort, Marcus Lundberg, et al.. (2015). Interleukin-35 administration counteracts established murine type 1 diabetes – possible involvement of regulatory T cells. Scientific Reports. 5(1). 12633–12633. 56 indexed citations

18.

Espes, Daniel, Mats Martinell, & Per‐Ola Carlsson. (2014). Increased Circulating Betatrophin Concentrations in Patients with Type 2 Diabetes. International Journal of Endocrinology. 2014. 1–6. 103 indexed citations

19.

Espes, Daniel, et al.. (2013). Severe diabetic ketoacidosis in combination with starvation and anorexia nervosa at onset of type 1 diabetes: A case report. Upsala Journal of Medical Sciences. 118(2). 130–133. 4 indexed citations

20.

Selvaraju, Ram Kumar, Irina Velikyan, Daniel Espes, et al.. (2012). Pancreatic uptake of [68Ga]DO3A-Exendin4 is mediated by the GLP-1 receptor. European Journal of Nuclear Medicine and Molecular Imaging. 39.

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.

Explore authors with similar magnitude of impact