Prema Narayan

2.2k total citations
48 papers, 1.8k citations indexed

About

Prema Narayan is a scholar working on Molecular Biology, Reproductive Medicine and Genetics. According to data from OpenAlex, Prema Narayan has authored 48 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 21 papers in Reproductive Medicine and 15 papers in Genetics. Recurrent topics in Prema Narayan's work include Hypothalamic control of reproductive hormones (20 papers), Receptor Mechanisms and Signaling (14 papers) and RNA modifications and cancer (11 papers). Prema Narayan is often cited by papers focused on Hypothalamic control of reproductive hormones (20 papers), Receptor Mechanisms and Signaling (14 papers) and RNA modifications and cancer (11 papers). Prema Narayan collaborates with scholars based in United States, Canada and Italy. Prema Narayan's co-authors include Fritz Rottman, David Puett, Joseph A. Bokar, Howard C. Towle, Chengbin Wu, Donald Β. Jump, Jack H. Oppenheimer, Heather A. Towle Millard, Neil A. Bhowmick and S M Carroll and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Prema Narayan

48 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Prema Narayan United States 24 1.3k 387 361 288 252 48 1.8k
Kyoon Eon Kim South Korea 20 447 0.3× 130 0.3× 188 0.5× 221 0.8× 168 0.7× 57 911
Yuichi Michikawa Japan 14 622 0.5× 65 0.2× 254 0.7× 101 0.4× 42 0.2× 26 958
Brian E. Nordin United States 11 769 0.6× 40 0.1× 81 0.2× 98 0.3× 84 0.3× 14 1.2k
Patrick Lestienne France 22 1.2k 0.9× 132 0.3× 67 0.2× 159 0.6× 14 0.1× 60 1.5k
John R. Yates United States 7 936 0.7× 102 0.3× 47 0.1× 112 0.4× 18 0.1× 8 1.4k
T. Kawashima Japan 7 369 0.3× 53 0.1× 98 0.3× 515 1.8× 170 0.7× 21 927
Bijay S. Jaiswal United States 19 625 0.5× 55 0.1× 488 1.4× 131 0.5× 49 0.2× 26 1.3k
John L. Krstenansky United States 26 1.1k 0.8× 135 0.3× 49 0.1× 165 0.6× 69 0.3× 73 1.8k
Cathérine Ronin France 20 573 0.4× 19 0.0× 186 0.5× 127 0.4× 495 2.0× 41 1.2k
Tamás Fischer Germany 21 2.3k 1.8× 123 0.3× 20 0.1× 160 0.6× 87 0.3× 49 2.8k

Countries citing papers authored by Prema Narayan

Since Specialization
Citations

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

Fields of papers citing papers by Prema Narayan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prema Narayan

This figure shows the co-authorship network connecting the top 25 collaborators of Prema Narayan. A scholar is included among the top collaborators of Prema Narayan 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 Prema Narayan. Prema Narayan 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.
Priviero, Fernanda, et al.. (2020). Constitutive LH receptor activity impairs NO-mediated penile smooth muscle relaxation. Reproduction. 161(1). 31–41. 5 indexed citations
2.
Lan, Hai, et al.. (2017). Constitutive luteinizing hormone receptor signaling causes sexual dysfunction and Leydig cell adenomas in male mice†. Biology of Reproduction. 96(5). 1007–1018. 5 indexed citations
4.
Venable, Alison, Raj R. Rao, Nolan L. Boyd, et al.. (2012). Bone morphogenetic protein-4 affects both trophoblast and non-trophoblast lineage-associated gene expression in human embryonic stem cells. 2(4). 163–175. 1 indexed citations
5.
Smith, Keriayn N., et al.. (2008). Impact of a constitutively active luteinizing hormone receptor on testicular gene expression and postnatal Leydig cell development. Molecular and Cellular Endocrinology. 298(1-2). 33–41. 10 indexed citations
6.
Meehan, Thomas P., et al.. (2005). Gonadal defects and hormonal alterations in transgenic mice expressing a single chain human chorionic gonadotropin–lutropin receptor complex. Journal of Molecular Endocrinology. 34(2). 489–503. 29 indexed citations
7.
Angelova, Krassimira, Valérie Frémont, Meng Zhang, et al.. (2004). Human α-Subunit Analogs Act as Partial Agonists to the Thyroid-Stimulating Hormone Receptor: Differential Effects of Free and Yoked Subunits. Endocrine. 24(1). 25–32. 5 indexed citations
8.
Angelova, Krassimira, Prema Narayan, & David Puett. (2003). The luteinizing hormone receptor: influence of buffer composition on ligand binding and signaling of wild type and mutant receptors. Molecular and Cellular Endocrinology. 204(1-2). 1–9. 7 indexed citations
9.
Puett, David, Chengbin Wu, & Prema Narayan. (1998). The Tie that Binds: Design of Biologically Active Single-Chain Human Chorionic Gonadotropins and a Gonadotropin-Receptor Complex Using Protein Engineering1. Biology of Reproduction. 58(6). 1337–1342. 10 indexed citations
10.
Bhowmick, Neil A., Prema Narayan, & David Puett. (1998). The Endothelin Subtype A Receptor Undergoes Agonist- and Antagonist-Mediated Internalization in the Absence of Signaling1. Endocrinology. 139(7). 3185–3192. 50 indexed citations
11.
Bhowmick, Neil A., Prema Narayan, & David Puett. (1998). Surface retention of an inactivating lutropin receptor mutant in exoloop 3. Molecular and Cellular Biochemistry. 187(1-2). 221–227. 3 indexed citations
12.
Angelova, Krassimira, David Puett, & Prema Narayan. (1997). Identification of endothelin receptor subtypes in sheep choroid plexus. Endocrine. 7(3). 287–293. 5 indexed citations
13.
Wu, Chengbin, Prema Narayan, & David Puett. (1996). Protein Engineering of a Novel Constitutively Active Hormone-Receptor Complex. Journal of Biological Chemistry. 271(49). 31638–31642. 26 indexed citations
14.
Narayan, Prema, et al.. (1994). Context effects on N6-adenosine methylation sites in prolactin mRNA. Nucleic Acids Research. 22(3). 419–426. 63 indexed citations
15.
Rottman, Fritz, et al.. (1994). N6-Adenosine methylation in mRNA: Substrate specificity and enzyme complexity. Biochimie. 76(12). 1109–1114. 46 indexed citations
16.
Narayan, Prema & Fritz Rottman. (1992). Methylation of mRNA. Advances in enzymology and related areas of molecular biology/Advances in enzymology and related subjects. 65. 255–285. 22 indexed citations
17.
Carroll, Simon, Prema Narayan, & Fritz Rottman. (1990). N 6 -Methyladenosine Residues in an Intron-Specific Region of Prolactin Pre-mRNA. Molecular and Cellular Biology. 10(9). 4456–4465. 31 indexed citations
18.
Narayan, Prema, et al.. (1987). Unequal Distribution of N 6 -Methyladenosine in Influenza Virus mRNAs. Molecular and Cellular Biology. 7(4). 1572–1575. 51 indexed citations
19.
Ransohoff, Richard M., et al.. (1987). Priming of influenza mRNA transcription is inhibited in CHO cells treated with the methylation inhibitor, Neplanocin A. Antiviral Research. 7(6). 317–327. 29 indexed citations
20.
Narayan, Prema & Howard C. Towle. (1985). Stabilization of a Specific Nuclear mRNA Precursor by Thyroid Hormone. Molecular and Cellular Biology. 5(10). 2642–2646. 88 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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