Jesper Gromada

21.8k total citations · 2 hit papers
149 papers, 13.9k citations indexed

About

Jesper Gromada is a scholar working on Surgery, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Jesper Gromada has authored 149 papers receiving a total of 13.9k indexed citations (citations by other indexed papers that have themselves been cited), including 108 papers in Surgery, 68 papers in Molecular Biology and 49 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Jesper Gromada's work include Pancreatic function and diabetes (102 papers), Diabetes Treatment and Management (30 papers) and Metabolism, Diabetes, and Cancer (23 papers). Jesper Gromada is often cited by papers focused on Pancreatic function and diabetes (102 papers), Diabetes Treatment and Management (30 papers) and Metabolism, Diabetes, and Cancer (23 papers). Jesper Gromada collaborates with scholars based in United States, Denmark and Sweden. Jesper Gromada's co-authors include Patrik Rorsman, Jens J. Holst, Krister Bokvist, Claes B. Wollheim, Isobel Franklin, Marianne Høy, Karsten Buschard, George D. Yancopoulos, Helen H. Hobbs and Jonathan C. Cohen and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Jesper Gromada

149 papers receiving 13.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

FGF-21 as a novel metabolic regulator

2005 1.8k citations Alexei Kharitonenkov, Tatiyana L. Shiyanova et al. Journal of Clinical Investigation profile →
RNA Sequencing of Single Human Islet Cells Reveals Type 2 Diabetes Genes

2016 439 citations Yurong Xin, Haruka Okamoto et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jesper Gromada United States	61	6.9k	6.8k	5.1k	2.1k	1.8k	149	13.9k
Michael B. Wheeler Canada	68	6.0k 0.9×	6.6k 1.0×	4.0k 0.8×	2.0k 0.9×	3.3k 1.9×	204	13.5k
Rohit Kulkarni United States	63	6.8k 1.0×	7.4k 1.1×	3.9k 0.8×	3.6k 1.7×	2.7k 1.5×	191	13.5k
M. Alan Permutt United States	57	6.5k 0.9×	7.2k 1.1×	3.9k 0.8×	3.9k 1.8×	1.8k 1.0×	200	12.5k
Yoshio Fujitani Japan	51	3.4k 0.5×	3.9k 0.6×	2.9k 0.6×	2.0k 0.9×	1.0k 0.6×	169	9.6k
Hideki Katagiri Japan	60	5.4k 0.8×	2.7k 0.4×	1.5k 0.3×	1.1k 0.5×	2.1k 1.2×	221	10.4k
Patrick E. MacDonald Canada	49	4.9k 0.7×	4.4k 0.6×	2.5k 0.5×	1.7k 0.8×	1.1k 0.6×	132	9.1k
Timothy J. Kieffer Canada	61	5.0k 0.7×	8.1k 1.2×	7.0k 1.4×	3.1k 1.5×	2.8k 1.6×	206	15.3k
Lee A. Witters United States	74	14.5k 2.1×	5.8k 0.8×	2.3k 0.4×	704 0.3×	5.5k 3.1×	133	19.4k
Robert V. Farese United States	58	7.5k 1.1×	2.7k 0.4×	2.0k 0.4×	627 0.3×	3.2k 1.8×	195	11.3k
Herbert Y. Gaisano Canada	54	4.0k 0.6×	4.2k 0.6×	1.6k 0.3×	1.3k 0.6×	1.1k 0.6×	228	8.1k

Countries citing papers authored by Jesper Gromada

Since Specialization

Citations

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

Fields of papers citing papers by Jesper Gromada

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jesper Gromada

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

All Works

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20 of 20 papers shown

González, Bryan J., Haoquan Zhao, Jacqueline Niu, et al.. (2022). Reduced calcium levels and accumulation of abnormal insulin granules in stem cell models of HNF1A deficiency. Communications Biology. 5(1). 779–779. 16 indexed citations

Gray, Sarah M., Yurong Xin, Liz Ross, et al.. (2020). Discordance between GLP-1R gene and protein expression in mouse pancreatic islet cells. Journal of Biological Chemistry. 295(33). 11529–11541. 29 indexed citations

Adam, Rene C., Poulabi Banerjee, Sara Hamon, et al.. (2020). Angiopoietin-like protein 3 governs LDL-cholesterol levels through endothelial lipase-dependent VLDL clearance. Journal of Lipid Research. 61(9). 1271–1286. 124 indexed citations

Spolitu, Stefano, Haruka Okamoto, Wen Dai, et al.. (2019). Hepatic Glucagon Signaling Regulates PCSK9 and Low-Density Lipoprotein Cholesterol. Circulation Research. 124(1). 38–51. 49 indexed citations

Llano‐Diez, Monica, Wen Fury, Haruka Okamoto, et al.. (2019). RNA-sequencing reveals altered skeletal muscle contraction, E3 ligases, autophagy, apoptosis, and chaperone expression in patients with critical illness myopathy. Skeletal Muscle. 9(1). 9–9. 42 indexed citations

Pouwer, Marianne, Elsbet Pieterman, Nanda Keijzer, et al.. (2019). Alirocumab, evinacumab, and atorvastatin triple therapy regresses plaque lesions and improves lesion composition in mice. Journal of Lipid Research. 61(3). 365–375. 52 indexed citations

Kleiner, Sandra, Daniel R. Gomez, Erqian Na, et al.. (2018). Mice harboring the human SLC30A8 R138X loss-of-function mutation have increased insulin secretory capacity. Proceedings of the National Academy of Sciences. 115(32). E7642–E7649. 40 indexed citations

Spolitu, Stefano, Haruka Okamoto, Wen Dai, et al.. (2018). Hepatic Glucagon Signaling Regulates PCSK9 and LDL-Cholesterol. Circulation Research. 1 indexed citations

Rahman, Karishma, Yuliya Vengrenyuk, Stephen A. Ramsey, et al.. (2017). Inflammatory Ly6Chi monocytes and their conversion to M2 macrophages drive atherosclerosis regression. Journal of Clinical Investigation. 127(8). 2904–2915. 256 indexed citations

10.

Berger, J, Angel Loza‐Valdes, Jesper Gromada, Norma N. Anderson, & Jay D. Horton. (2017). Inhibition of PCSK9 does not improve lipopolysaccharide-induced mortality in mice. Journal of Lipid Research. 58(8). 1661–1669. 39 indexed citations

11.

Gao, Jiaping, Penelope A. Kosinski, Stephen J. Elliman, et al.. (2012). Heat shock protein 90 (HSP90) inhibitors activate the heat shock factor 1 (HSF1) stress response pathway and improve glucose regulation in diabetic mice. Biochemical and Biophysical Research Communications. 430(3). 1109–1113. 42 indexed citations

12.

Gao, Jiaping, et al.. (2010). Fibroblast growth factor 21 regulates energy metabolism by activating the AMPK–SIRT1–PGC-1α pathway. Proceedings of the National Academy of Sciences. 107(28). 12553–12558. 444 indexed citations

13.

Illies, Christopher, Jesper Gromada, Roberta Fiume, et al.. (2007). Requirement of Inositol Pyrophosphates for Full Exocytotic Capacity in Pancreatic β Cells. Science. 318(5854). 1299–1302. 157 indexed citations

14.

Kharitonenkov, Alexei, Tatiyana L. Shiyanova, Anja Köester, et al.. (2005). FGF-21 as a novel metabolic regulator. Journal of Clinical Investigation. 115(6). 1627–1635. 1750 indexed citations breakdown →

15.

Holst, Jens J. & Jesper Gromada. (2004). Role of incretin hormones in the regulation of insulin secretion in diabetic and nondiabetic humans. American Journal of Physiology-Endocrinology and Metabolism. 287(2). E199–E206. 477 indexed citations

16.

Johansson, Jenny U., Jesper Gromada, Slavena A. Mandic, et al.. (2004). Cyclin-dependent Kinase 5 Associated with p39 Promotes Munc18-1 Phosphorylation and Ca2+-dependent Exocytosis. Journal of Biological Chemistry. 279(28). 29534–29541. 56 indexed citations

17.

Gromada, Jesper, Marianne Høy, Hervør L. Olsen, et al.. (2001). Gi2 proteins couple somatostatin receptors to low-conductance K+ channels in rat pancreatic α-cells. Pflügers Archiv - European Journal of Physiology. 442(1). 19–26. 24 indexed citations

18.

Høy, Marianne, Hervør L. Olsen, Krister Bokvist, et al.. (2000). Tolbutamide stimulates exocytosis of glucagon by inhibition of a mitochondrial‐like ATP‐sensitive K⁺ (K_ATP) conductance in rat pancreatic A‐cells. The Journal of Physiology. 527(1). 109–120. 29 indexed citations

19.

Gromada, Jesper, Patrik Rorsman, Steen Dissing, & Birgitte S. Wulff. (1996). Stimulation of cloned human glucagon-like peptide 1 receptor expressed in HEK 293 cells induces cAMP-dependent activation of calcium-induced calcium release (vol 373, pg 182, 1995). FEBS Letters. 381. 272–272. 2 indexed citations

20.

Gromada, Jesper & Patrik Rorsman. (1996). Molecular mechanism underlying glucagon‐like peptide 1 induced calcium mobilization from internal stores in insulin‐secreting bTC3 cells. Acta Physiologica Scandinavica. 157(3). 349–351. 3 indexed citations

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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