Ben Greenstein

2.3k total citations · 1 hit paper
57 papers, 1.7k citations indexed

About

Ben Greenstein is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism and Immunology. According to data from OpenAlex, Ben Greenstein has authored 57 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Genetics, 12 papers in Endocrinology, Diabetes and Metabolism and 10 papers in Immunology. Recurrent topics in Ben Greenstein's work include Estrogen and related hormone effects (26 papers), Hormonal and reproductive studies (8 papers) and Reproductive System and Pregnancy (8 papers). Ben Greenstein is often cited by papers focused on Estrogen and related hormone effects (26 papers), Hormonal and reproductive studies (8 papers) and Reproductive System and Pregnancy (8 papers). Ben Greenstein collaborates with scholars based in United Kingdom, United States and Oman. Ben Greenstein's co-authors include Philip J. Coates, Peter A. Hall, Bijan Ansari, F. T. A. Fitzpatrick, Marion D. Kendall, M. Ginsburg, Patrick J. Thomas, Neil J. MacLusky, Michael J. Wheeler and Ian M. Adcock and has published in prestigious journals such as Nature, Trends in Neurosciences and Brain Research.

In The Last Decade

Ben Greenstein

55 papers receiving 1.7k citations

Hit Papers

In situ end‐labelling detects DNA strand breaks in apopto... 1993 2026 2004 2015 1993 100 200 300 400 500
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.

  1. In situ end‐labelling detects DNA strand breaks in apoptosis and other physiological and pathological states
    1993 524 citations Bijan Ansari, Philip J. Coates et al. The Journal of Pathology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ben Greenstein United Kingdom 18 444 423 419 371 251 57 1.7k
Beth S. Schachter United States 22 555 1.3× 165 0.4× 602 1.4× 369 1.0× 220 0.9× 34 1.6k
Ralf Lösel Germany 23 884 2.0× 521 1.2× 1.0k 2.4× 615 1.7× 398 1.6× 39 2.7k
Andrew D. Darnel Japan 26 568 1.3× 125 0.3× 482 1.2× 362 1.0× 103 0.4× 33 1.8k
Shuji Hirata Japan 25 591 1.3× 219 0.5× 718 1.7× 268 0.7× 788 3.1× 101 2.1k
Nikos C. Vamvakopoulos Greece 19 566 1.3× 239 0.6× 431 1.0× 577 1.6× 406 1.6× 39 1.9k
Aliesha González‐Arenas Mexico 22 505 1.1× 189 0.4× 524 1.3× 154 0.4× 158 0.6× 61 1.4k
Ameae M. Walker United States 30 922 2.1× 222 0.5× 502 1.2× 1.1k 2.8× 351 1.4× 104 2.4k
Daniel F. Cimino United States 14 1.1k 2.5× 267 0.6× 1.3k 3.2× 543 1.5× 267 1.1× 20 2.4k
Katsumi Toda Japan 27 960 2.2× 232 0.5× 1.2k 2.8× 1.0k 2.7× 495 2.0× 75 2.9k
N Ling United States 24 939 2.1× 227 0.5× 181 0.4× 769 2.1× 251 1.0× 42 2.5k

Countries citing papers authored by Ben Greenstein

Since Specialization
Citations

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

Fields of papers citing papers by Ben Greenstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ben Greenstein

This figure shows the co-authorship network connecting the top 25 collaborators of Ben Greenstein. A scholar is included among the top collaborators of Ben Greenstein 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 Ben Greenstein. Ben Greenstein 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.
Greenstein, Ben. (2017). Rapid Revision in Clinical Pharmacology. 4 indexed citations
2.
Greenstein, Ben. (2001). Lupus: Why Women?. Journal of Women s Health & Gender-Based Medicine. 10(3). 233–239. 13 indexed citations
3.
Greenstein, Ben, et al.. (2001). Estrogen and progesterone receptors in murine models of systemic lupus erythematosus. International Immunopharmacology. 1(6). 1025–1035. 12 indexed citations
4.
5.
Greenstein, Ben, et al.. (2000). Color atlas of neuroscience : neuroanatomy and neurophysiology. Thieme eBooks. 34 indexed citations
6.
Greenstein, Ben, et al.. (2000). Strain differences in binding properties of estrogen receptors in immature and adult BALB/c and MRL/MP-lpr/lpr mice, a model of systemic lupus erythematosus. International Journal of Immunopharmacology. 22(3). 247–254. 20 indexed citations
7.
Greenstein, Ben, et al.. (2000). Impaired estrogen priming of progesterone receptors in uterus of MRL/MP-lpr/lpr mice, a model of systemic lupus erythematosus (SLE). International Journal of Immunopharmacology. 22(7). 537–545. 11 indexed citations
8.
Greenstein, Ben, et al.. (1999). Evidence for sexual dimorphism of estrogen receptors in hypothalamus and thymus of neonatal and immature Wistar rats. International Journal of Immunopharmacology. 21(12). 869–877. 24 indexed citations
9.
Ansari, Bijan, Philip J. Coates, Ben Greenstein, & Peter A. Hall. (1993). In situ end‐labelling detects DNA strand breaks in apoptosis and other physiological and pathological states. The Journal of Pathology. 170(1). 1–8. 524 indexed citations breakdown →
10.
Greenstein, Ben, et al.. (1993). Specificity of estrogen receptors in rat thymus. International Journal of Immunopharmacology. 15(8). 927–932. 8 indexed citations
11.
Wheeler, M.J., et al.. (1992). Dose-related effects of oestradiol on rat thymic and splenic t-lymphocyte responsiveness to mitogens. International Journal of Immunopharmacology. 14(2). 167–172. 9 indexed citations
12.
13.
Greenstein, Ben, et al.. (1992). Aromatase inhibitors regenerate the thymus in aging male rats. International Journal of Immunopharmacology. 14(4). 541–553. 32 indexed citations
14.
Kendall, Marion D., et al.. (1990). Reversal of ageing changes in the thymus of rats by chemical or surgical castration. Cell and Tissue Research. 261(3). 555–564. 59 indexed citations
15.
Greenstein, Ben, et al.. (1988). Effects of an aromatase inhibitor on testosterone-induced inhibition of thymus growth in immature female rats. Journal of Endocrinology. 119(1). 65–67. 15 indexed citations
16.
Fitzpatrick, F. T. A., Marion D. Kendall, M.J. Wheeler, Ian M. Adcock, & Ben Greenstein. (1985). REAPPEARANCE OF THYMUS OF AGEING RATS AFTER ORCHIDECTOMY. Journal of Endocrinology. 106(3). R17–R19. 59 indexed citations
17.
18.
Greenstein, Ben. (1978). The role of hormone receptors in development and puberty. Reproduction. 52(2). 419–426. 10 indexed citations
19.
20.
Ginsburg, M., Ben Greenstein, Neil J. MacLusky, Ian D. Morris, & Patrick J. Thomas. (1975). Occurrence and properties of 17β-oestradiol receptors in rat brain. Journal of Steroid Biochemistry. 6(6). 989–991. 6 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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