Michael D. Culler

12.8k total citations · 1 hit paper
194 papers, 10.0k citations indexed

About

Michael D. Culler is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology and Molecular Biology. According to data from OpenAlex, Michael D. Culler has authored 194 papers receiving a total of 10.0k indexed citations (citations by other indexed papers that have themselves been cited), including 111 papers in Endocrinology, Diabetes and Metabolism, 84 papers in Epidemiology and 37 papers in Molecular Biology. Recurrent topics in Michael D. Culler's work include Neuroendocrine Tumor Research Advances (76 papers), Pituitary Gland Disorders and Treatments (69 papers) and Growth Hormone and Insulin-like Growth Factors (62 papers). Michael D. Culler is often cited by papers focused on Neuroendocrine Tumor Research Advances (76 papers), Pituitary Gland Disorders and Treatments (69 papers) and Growth Hormone and Insulin-like Growth Factors (62 papers). Michael D. Culler collaborates with scholars based in United States, France and Italy. Michael D. Culler's co-authors include John E. Taylor, A. Negro‐Vilar, Akira Arimura, David H. Coy, Akira Uehara, Atsuro Miyata, Lun Jiang, Naoto Minamino, Rakesh Datta and Jesse Z. Dong and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Journal of Clinical Oncology.

In The Last Decade

Michael D. Culler

191 papers receiving 9.8k citations

Hit Papers

align trajectories sort by overperformance

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.

Isolation of a novel 38 residue-hypothalamic polypeptide which stimulates adenylate cyclase in pituitary cells

1989 1.6k citations Michael D. Culler et al. profile →

Author Peers

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

Author						Papers	Cites
Michael D. Culler	3.9k	3.2k	2.8k	2.1k	1.8k	194	10.0k
Justo P. Castaño	2.1k 0.5×	2.0k 0.6×	2.3k 0.8×	549 0.3×	1.4k 0.8×	250	6.8k
Lawrence A. Frohman	5.4k 1.4×	802 0.3×	2.3k 0.8×	1.0k 0.5×	2.0k 1.1×	206	9.6k
D.H. Coy	2.6k 0.7×	1.5k 0.5×	3.5k 1.2×	3.3k 1.5×	581 0.3×	238	7.9k
Raúl M. Luque	2.7k 0.7×	1.8k 0.6×	2.1k 0.8×	330 0.2×	1.5k 0.9×	265	6.7k
A Enjalbert	3.8k 1.0×	1.5k 0.5×	2.7k 1.0×	1.7k 0.8×	435 0.2×	208	7.4k
Hiroshi Demura	4.8k 1.2×	437 0.1×	2.3k 0.8×	1.1k 0.5×	1.4k 0.8×	389	11.1k
Michael Berelowitz	2.1k 0.6×	1.4k 0.5×	1.5k 0.5×	907 0.4×	768 0.4×	88	4.6k
Yutaka Oiso	1.7k 0.4×	518 0.2×	3.6k 1.3×	1.2k 0.6×	1.1k 0.6×	321	8.3k
Patrick Robberecht	1.3k 0.3×	716 0.2×	5.3k 1.9×	5.8k 2.7×	607 0.3×	314	9.3k
S R Bloom	1.2k 0.3×	815 0.3×	1.6k 0.6×	2.2k 1.0×	882 0.5×	128	6.0k

Countries citing papers authored by Michael D. Culler

Since Specialization

Citations

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

Fields of papers citing papers by Michael D. Culler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael D. Culler. 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 Michael D. Culler. The network helps show where Michael D. Culler may publish in the future.

Co-authorship network of co-authors of Michael D. Culler

This figure shows the co-authorship network connecting the top 25 collaborators of Michael D. Culler. A scholar is included among the top collaborators of Michael D. Culler 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 Michael D. Culler. Michael D. Culler 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

Reid, Patrick, et al.. (2025). Additive effects of ALXN2420, a GH receptor antagonist, and octreotide on IGF1 suppression in vivo. European Journal of Endocrinology. 192(3). 299–307. 1 indexed citations

Deering, Kathleen L., Niccole J. Larsen, Soraya Allas, et al.. (2024). Economic burden of patients with post-surgical chronic and transient hypoparathyroidism in the United States examined using insurance claims data. Orphanet Journal of Rare Diseases. 19(1). 164–164. 5 indexed citations

Herrera‐Martínez, Aura D., Peter M. van Koetsveld, Michael D. Culler, et al.. (2019). Effects of novel somatostatin-dopamine chimeric drugs in 2D and 3D cell culture models of neuroendocrine tumors. Endocrine Related Cancer. 26(6). 585–599. 19 indexed citations

Pacheco, David Rincon Fernandez, Michael D. Culler, Natia Tsomaia, et al.. (2017). In1-ghrelin splicing variant is associated with reduced disease-free survival of breast cancer patients and increases malignancy of breast cancer cells lines. Carcinogenesis. 39(3). 447–457. 19 indexed citations

Hormaechea‐Agulla, Daniel, Manuel D. Gahete, Juan M. Jiménez‐Vacas, et al.. (2017). The oncogenic role of the In1-ghrelin splicing variant in prostate cancer aggressiveness. Molecular Cancer. 16(1). 146–146. 38 indexed citations

Su, Xiangdong, Fabienne Pradaux, Nigel Vicker, et al.. (2011). Adamantyl Ethanone Pyridyl Derivatives: Potent and Selective Inhibitors of Human 11β‐Hydroxysteroid Dehydrogenase Type 1. ChemMedChem. 6(9). 1616–1629. 12 indexed citations

Florio, Tullio, Federica Barbieri, Renato Spaziante, et al.. (2008). Efficacy of a dopamine-somatostatin chimeric molecule, BIM-23A760, in the control of cell growth from primary cultures of human non-functioning pituitary adenomas: a multi-center study. Endocrine Related Cancer. 15(2). 583–596. 87 indexed citations

Padova, Hagit, Hadara Rubinfeld, Moshe Hadani, et al.. (2007). Effects of selective somatostatin analogs and cortistatin on cell viability in cultured human non-functioning pituitary adenomas. Molecular and Cellular Endocrinology. 286(1-2). 214–218. 17 indexed citations

Goffin, Vincent, Philippe Touraine, Michael D. Culler, & Paul A. Kelly. (2006). Drug Insight: prolactin-receptor antagonists, a novel approach to treatment of unresolved systemic and local hyperprolactinemia?. Nature Clinical Practice Endocrinology & Metabolism. 2(10). 571–581. 49 indexed citations

10.

Ben-Shlomo, Anat, Kolja Wawrowsky, Irina Proekt, et al.. (2005). Somatostatin Receptor Type 5 Modulates Somatostatin Receptor Type 2 Regulation of Adrenocorticotropin Secretion. Journal of Biological Chemistry. 280(25). 24011–24021. 55 indexed citations

11.

Zatelli, Maria Chiara, Daniela Piccin, Marta Bondanelli, et al.. (2003). AnIn VivoOctreoScan-Negative Adrenal Pheochromocytoma Expresses Somatostatin Receptors and Responds to Somatostatin Analogs TreatmentIn Vitro. Hormone and Metabolic Research. 35(6). 349–354. 15 indexed citations

12.

Zatelli, Maria Chiara, Daniela Piccin, Federico Tagliati, et al.. (2003). Somatostatin Receptor Subtype 1 Selective Activation in Human Growth Hormone (GH)- and Prolactin (PRL)-Secreting Pituitary Adenomas: Effects on Cell Viability, GH, and PRL Secretion. The Journal of Clinical Endocrinology & Metabolism. 88(6). 2797–2802. 85 indexed citations

13.

Culler, Michael D.. (2003). Evolving concepts in the quest for advanced therapeutic analogues of somatostatin. Digestive and Liver Disease. 36. S17–S25. 7 indexed citations

14.

Goldstein, Gideon, Maurizio Fava, Michael D. Culler, et al.. (2000). Elevated plasma thymopoietin associated with therapeutic nonresponsiveness in major depression. Biological Psychiatry. 48(1). 65–69. 6 indexed citations

15.

Jaquet, P, Alexandru Saveanu, Ginette Gunz, et al.. (2000). Human Somatostatin Receptor Subtypes in Acromegaly: Distinct Patterns of Messenger Ribonucleic Acid Expression and Hormone Suppression Identify Different Tumoral Phenotypes¹. The Journal of Clinical Endocrinology & Metabolism. 85(2). 781–792. 139 indexed citations

16.

Manasco, Penelope K., et al.. (1997). Ontogeny of gonadotrophin and inhibin secretion in normal girls through puberty based on overnight serial sampling and a comparison with normal boys. Human Reproduction. 12(10). 2108–2114. 7 indexed citations

17.

Byrne, B., et al.. (1995). Gonadotropin Surge-Attenuating Factor Bioactivity in Serum from Superovulated Women is not Blocked by Inhibin Antibody1. Biology of Reproduction. 52(1). 88–95. 15 indexed citations

18.

Blake, Charles A., Gary T. Campbell, Franco Mascagni, Michael D. Culler, & A. Negro‐Vilar. (1993). Effects of Injection of Anti-Luteinizing Hormone (LH)-Releasing Hormone Serum and Anti-Gonadotropin-Releasing Hormone-Associated Peptide Serum into Neonatal Rats on LH and Follicle-Stimulating Hormone Cells1. Biology of Reproduction. 49(5). 965–971. 4 indexed citations

19.

Bloch, Bertrand, Rolf C. Gaillard, Michael D. Culler, & A. Negro‐Vilar. (1992). Immunohistochemical detection of proluteinizing hormone-releasing hormone peptides in neurons in the human hypothalamus.. The Journal of Clinical Endocrinology & Metabolism. 74(1). 135–138. 14 indexed citations

20.

Negro‐Vilar, A., et al.. (1987). Pulsatile peptide secretion: encoding of brain messages regulating endocrine and reproductive functions.. Environmental Health Perspectives. 75. 37–43. 5 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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