Benjamin Morpurgo

829 total citations
21 papers, 517 citations indexed

About

Benjamin Morpurgo is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Aquatic Science. According to data from OpenAlex, Benjamin Morpurgo has authored 21 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Endocrinology, Diabetes and Metabolism and 4 papers in Aquatic Science. Recurrent topics in Benjamin Morpurgo's work include Growth Hormone and Insulin-like Growth Factors (5 papers), RNA modifications and cancer (4 papers) and Cancer-related molecular mechanisms research (4 papers). Benjamin Morpurgo is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (5 papers), RNA modifications and cancer (4 papers) and Cancer-related molecular mechanisms research (4 papers). Benjamin Morpurgo collaborates with scholars based in United States, Israel and China. Benjamin Morpurgo's co-authors include Tom E. Porter, Un-Ho Jin, Stephen Safe, Mandip Singh, Ala Abudayyeh, Ronald B. Tjalkens, Andrei Golovko, B. Robinzon, Sui Ke and Jingshu Chen and has published in prestigious journals such as PLoS ONE, Endocrinology and Biochemical Pharmacology.

In The Last Decade

Benjamin Morpurgo

21 papers receiving 503 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benjamin Morpurgo United States 13 226 137 118 101 69 21 517
Douglas H. Sieglaff United States 19 454 2.0× 85 0.6× 133 1.1× 198 2.0× 120 1.7× 28 1000
Natacha Dreumont France 15 586 2.6× 100 0.7× 38 0.3× 131 1.3× 39 0.6× 30 829
John B. Allard United States 6 212 0.9× 76 0.6× 197 1.7× 22 0.2× 42 0.6× 8 536
Chung Choo Lee South Korea 15 186 0.8× 62 0.5× 107 0.9× 78 0.8× 43 0.6× 38 534
Irene M. Wolf United States 8 338 1.5× 41 0.3× 163 1.4× 35 0.3× 122 1.8× 8 603
M. O'Connell United States 12 653 2.9× 141 1.0× 155 1.3× 28 0.3× 44 0.6× 16 1.2k
Yow‐Jiun Jeng United States 13 182 0.8× 35 0.3× 61 0.5× 125 1.2× 104 1.5× 20 570
Pia Bagamasbad United States 13 329 1.5× 29 0.2× 101 0.9× 67 0.7× 48 0.7× 20 621
T. Toney Ilenchuk Canada 13 231 1.0× 44 0.3× 37 0.3× 141 1.4× 67 1.0× 14 701
Manabu Matsuda Japan 18 284 1.3× 107 0.8× 124 1.1× 49 0.5× 114 1.7× 43 906

Countries citing papers authored by Benjamin Morpurgo

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Morpurgo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benjamin Morpurgo

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

All Works

20 of 20 papers shown
1.
Ye, Xiangcang, Zeyu Liu, Zheng Shen, et al.. (2023). Nutrient-Sensing Ghrelin Receptor in Macrophages Modulates Bisphenol A-Induced Intestinal Inflammation in Mice. Genes. 14(7). 1455–1455. 8 indexed citations
2.
Chen, Jingshu, Sui Ke, James J. Cai, et al.. (2022). Ablation of long noncoding RNA MALAT1 activates antioxidant pathway and alleviates sepsis in mice. Redox Biology. 54. 102377–102377. 26 indexed citations
3.
Chen, Jingshu, Lei Zhong, Jing Wu, et al.. (2018). A Murine Pancreatic Islet Cell-based Screening for Diabetogenic Environmental Chemicals. Journal of Visualized Experiments. 6 indexed citations
4.
Chen, Jingshu, Sui Ke, Jing Wu, et al.. (2018). Long noncoding RNA MALAT1 regulates generation of reactive oxygen species and the insulin responses in male mice. Biochemical Pharmacology. 152. 94–103. 59 indexed citations
5.
Cheng, Yating, Parisa Imanirad, Indira Jutooru, et al.. (2018). Role of metastasis-associated lung adenocarcinoma transcript-1 (MALAT-1) in pancreatic cancer. PLoS ONE. 13(2). e0192264–e0192264. 39 indexed citations
6.
Chen, Jingshu, Lei Zhong, Jing Wu, et al.. (2018). A Murine Pancreatic Islet Cell-based Screening for Diabetogenic Environmental Chemicals. Journal of Visualized Experiments. 1 indexed citations
7.
Miard, Stéphanie, Philippe Joubert, Sophie Carter, et al.. (2017). Absence of Malat1 does not prevent DEN-induced hepatocarcinoma in mice. Oncology Reports. 37(4). 2153–2160. 9 indexed citations
8.
Cui, Hongmei, Xinsheng Gu, Jingshu Chen, et al.. (2017). Pregnane X receptor regulates the AhR/Cyp1A1 pathway and protects liver cells from benzo-[α]-pyrene-induced DNA damage. Toxicology Letters. 275. 67–76. 29 indexed citations
9.
Golovko, Andrei, Bo-Jhih Guan, Benjamin Morpurgo, et al.. (2016). The eIF2A knockout mouse. Cell Cycle. 15(22). 3115–3120. 23 indexed citations
10.
Safe, Stephen, Un-Ho Jin, Benjamin Morpurgo, et al.. (2015). Nuclear receptor 4A (NR4A) family – orphans no more. The Journal of Steroid Biochemistry and Molecular Biology. 157. 48–60. 136 indexed citations
11.
Morpurgo, Benjamin, et al.. (1999). Induction of Somatotroph Differentiation In Vivo by Corticosterone Administration During Chicken Embryonic Development. Endocrine. 11(2). 151–156. 31 indexed citations
12.
Morpurgo, Benjamin, et al.. (1997). Identification of the Blood-Borne Somatotroph-Differentiating Factor during Chicken Embryonic Development1. Endocrinology. 138(11). 4530–4535. 37 indexed citations
13.
Morpurgo, Benjamin. (1997). Identification of the Blood-Borne Somatotroph-Differentiating Factor during Chicken Embryonic Development. Endocrinology. 138(11). 4530–4535. 14 indexed citations
14.
Porter, Tom E., et al.. (1995). Evidence that somatotroph differentiation during chicken embryonic development is stimulated by a blood-borne signal.. Endocrinology. 136(9). 3721–3728. 38 indexed citations
15.
Morpurgo, Benjamin & Tom E. Porter. (1995). Cellular basis for gender-dependent differences in growth hormone secretion in young chickens: analysis using reverse hemolytic plaque assays.. PubMed. 59(1-2). 25–30. 12 indexed citations
16.
Morpurgo, Benjamin, G. Gvaryahu, & B. Robinzon. (1993). Aggressive behaviour in immature captive Nile crocodiles, Crocodylus niloticus, in relation to feeding. Physiology & Behavior. 53(6). 1157–1161. 14 indexed citations
17.
Morpurgo, Benjamin, et al.. (1993). Plasma fatty acid composition in wild and captive nile crocodile, crocodylus niloticus. Comparative Biochemistry and Physiology Part A Physiology. 104(2). 373–376. 7 indexed citations
19.
Morpurgo, Benjamin, I. Rozenboim, & B. Robinzon. (1992). Effect of yohimbine on the reproductive behavior of the male nile crocodile Crocodylus niloticus. Pharmacology Biochemistry and Behavior. 43(2). 449–452. 1 indexed citations
20.
Morpurgo, Benjamin, G. Gvaryahu, & B. Robinzon. (1991). Food preference, fish attractability and behavior manifested toward new feed in young nile crocodiles, Crocodylus niloticus. Physiology & Behavior. 50(1). 1–4. 10 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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