Mats Sjöquist

27 papers receiving 951 citations

Peers

Mats Sjöquist
Comparison fields: 5 of 86
  • Endocrine and Autonomic Systems 70
  • Cancer Research 129
  • Oncology 211
  • Genetics 189
  • Endocrinology, Diabetes and Metabolism 111
Replace Arancha R. Gortázar with:
Arancha R. Gortázar Spain
Marcel Blot-Chabaud France
Jan Bruder United States
Fernando Gianfrancesco Italy
Andreas Herrlich United States
Kanna Nagaishi Japan
Takashi Miyazawa Japan
Anna L. Mitchell United Kingdom
Kam‐Tsun Tang Taiwan
Roberta P. Glick United States
Mats Sjöquist relative to Arancha R. Gortázar Spain Arancha R. Gortázar's profile →
Citations per field
00.5×2.9×
Arancha R. Gortázar · 1×
Citations per year

Countries citing papers authored by Mats Sjöquist

Since Specialization
Citations

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

Fields of papers citing papers by Mats Sjöquist

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Inhibition of PDGF receptor signaling in tumor stroma enhances antitumor effect of chemotherapy.
2002356
2 199899
3 200399
4 200192
5 200363
6 200925
7 200125
8 199925
9 200624
10 200324
11 200024
12 200724
13 200720
14 199418
15 198510
16 20189
17 19858
18 19846
19 20055
20 20075

About Mats Sjöquist

Mats Sjöquist is a scholar working on Social Psychology, Molecular Biology, Pulmonary and Respiratory Medicine, Endocrinology, Diabetes and Metabolism and Surgery, having authored 27 papers that have together received 976 indexed citations. Recurring topics across this work include Neuroendocrine regulation and behavior (8 papers), Electrolyte and hormonal disorders (6 papers), Diabetes and associated disorders (5 papers), Pancreatic function and diabetes (4 papers), Nitric Oxide and Endothelin Effects (3 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (2 papers), Renin-Angiotensin System Studies (2 papers) and Pregnancy and preeclampsia studies (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (70 citations), Cancer Research (129 citations), Oncology (211 citations), Genetics (189 citations) and Endocrinology, Diabetes and Metabolism (111 citations). Mats Sjöquist has collaborated with scholars based in Sweden, United States and United Kingdom. Frequent co-authors include Kristofer Rubin, Wan Huang, Bo‐Lennart Johansson, Kristian Pietras, Elisabeth Buchdunger, Arne Östman, Carl‐Henrik Heldin, Tobias Sjöblom, Georg Jaremko and Stefan H. Jacobson. Their work appears in journals such as Kidney International, American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, Diabetes/Metabolism Research and Reviews, Endocrinology and Brain Research.

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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