Sofia Hult Lundh

23 papers receiving 572 citations

Sofia Hult Lundh's Hit Papers

A comprehensive spatio-cellular map of the human hypothalamus 2025 · 52 citations
520Years since publication1020304050

Peers

Sofia Hult Lundh
Comparison fields: 5 of 60
  • Endocrine and Autonomic Systems 141
  • Cellular and Molecular Neuroscience 174
  • Behavioral Neuroscience 8
  • Endocrinology, Diabetes and Metabolism 41
  • Psychiatry and Mental health 38
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Ioannis Papazoglou United States
Vincent R. Mirabella United States
Andrea Mimee Canada
Sarah Gingerich Canada
Damani N. Bryant United States
Jorien M.M. van der Burg Netherlands
Csaba Vastagh Hungary
Bertha Prieto-Gómez Mexico
Wei Zong United States
İltan Aklan United States
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Citations per year

Countries citing papers authored by Sofia Hult Lundh

Since Specialization
Citations

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

Fields of papers citing papers by Sofia Hult Lundh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sofia Hult Lundh. 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 Sofia Hult Lundh. The network helps show where Sofia Hult Lundh may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201483
2 201874
3 201367
4
A comprehensive spatio-cellular map of the human hypothalamus
Hit paper breakdown →
202552
5 201542
6 201736
7 202030
8 202226
9 202121
10 202520
11 202419
12 201218
13 201618
14 202413
15 202513
16 202512
17 202511
18 202210
19 20258
20 20223

About Sofia Hult Lundh

Sofia Hult Lundh is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience, Pharmacology, Physiology and Endocrinology, Diabetes and Metabolism, having authored 24 papers that have together received 580 indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (14 papers), Genetic Neurodegenerative Diseases (7 papers), Pharmacology and Obesity Treatment (2 papers), Single-cell and spatial transcriptomics (1 paper), Adipose Tissue and Metabolism (1 paper), Diabetes Treatment and Management (1 paper), Autophagy in Disease and Therapy (1 paper) and Thermoregulation and physiological responses (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (141 citations), Cellular and Molecular Neuroscience (174 citations), Behavioral Neuroscience (8 citations), Endocrinology, Diabetes and Metabolism (41 citations) and Psychiatry and Mental health (38 citations). Sofia Hult Lundh has collaborated with scholars based in Denmark, Sweden and Germany. Frequent co-authors include Åsa Petersén, Rana Soylu-Kucharz, Deniz Kirik, Nathalie Nilsson, Salmir Nasic, Jacques Riad, Kirsten Raun, Sami Reijonen, Alise Hyrskyluoto and Dan Lindholm. Their work appears in journals such as Cell Reports, Human Molecular Genetics, PLoS ONE, Nature Metabolism and EBioMedicine.

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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