Dan Hesse

32 papers receiving 1.0k citations

Dan Hesse's Hit Papers

Once-Weekly Semaglutide in Adolescents with Obesity 2022 · 378 citations
3780+1+2Years since publication100200300

Peers

Dan Hesse
Comparison fields: 5 of 77
  • Pathology and Forensic Medicine 312
  • Endocrinology, Diabetes and Metabolism 213
  • Immunology 175
  • Pharmacology 115
  • Cancer Research 99
Replace Natalia Wawrusiewicz‐Kurylonek with:
Natalia Wawrusiewicz‐Kurylonek Poland
Shiuh‐Lin Hwang Taiwan
Tomoko Ichiki United States
Cathy Zhao Australia
Gül Bahtiyar United States
Nobuo Kugai Japan
Marie‐Cécile Valera France
José R. Matos‐Souza Brazil
Sonia I. Vlaicu Romania
Jiani Wu China
Dan Hesse relative to Natalia Wawrusiewicz‐Kurylonek Poland Natalia Wawrusiewicz‐Kurylonek's profile →
Citations per field
00.5×6.6×
Natalia Wawrusiewicz‐Kurylonek · 1×
Citations per year

Countries citing papers authored by Dan Hesse

Since Specialization
Citations

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

Fields of papers citing papers by Dan Hesse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Once-Weekly Semaglutide in Adolescents with Obesity
Hit paper breakdown →
2022378
2 2013113
3 200974
4 201271
5 200943
6 201040
7 200735
8 201329
9 202329
10 201028
11 201227
12 200523
13 201022
14 201121
15 201518
16 200816
17 200816
18 201214
19 202112
20 201010

About Dan Hesse

Dan Hesse is a scholar working on Pathology and Forensic Medicine, Endocrinology, Diabetes and Metabolism, Molecular Biology, Pharmacology and Immunology, having authored 33 papers that have together received 1.1k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (13 papers), Diabetes Treatment and Management (10 papers), Metabolism, Diabetes, and Cancer (7 papers), Pharmacology and Obesity Treatment (4 papers), Immunotherapy and Immune Responses (2 papers), Diabetes and associated disorders (2 papers), Cytokine Signaling Pathways and Interactions (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (312 citations), Endocrinology, Diabetes and Metabolism (213 citations), Immunology (175 citations), Pharmacology (115 citations) and Cancer Research (99 citations). Dan Hesse has collaborated with scholars based in Denmark, United States and Israel. Frequent co-authors include Per Soelberg Sørensen, Finn Sellebjerg, Martin Krakauer, Helle Bach Søndergaard, Rasmus Sørrig, Aaron S. Kelly, Silva Arslanian, Daniel Weghuber, Lucy D. Mastrandrea and Ole Kleist Jeppesen. Their work appears in journals such as Multiple Sclerosis Journal, European Journal of Neurology, PLoS ONE, Neurology and Obesity.

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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