Niraj Joshi

771 total citations
21 papers, 560 citations indexed

About

Niraj Joshi is a scholar working on Reproductive Medicine, Immunology and Obstetrics and Gynecology. According to data from OpenAlex, Niraj Joshi has authored 21 papers receiving a total of 560 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Reproductive Medicine, 13 papers in Immunology and 10 papers in Obstetrics and Gynecology. Recurrent topics in Niraj Joshi's work include Endometriosis Research and Treatment (14 papers), Reproductive System and Pregnancy (13 papers) and Uterine Myomas and Treatments (6 papers). Niraj Joshi is often cited by papers focused on Endometriosis Research and Treatment (14 papers), Reproductive System and Pregnancy (13 papers) and Uterine Myomas and Treatments (6 papers). Niraj Joshi collaborates with scholars based in United States, India and Japan. Niraj Joshi's co-authors include Asgerally T. Fazleabas, Bruce A. Lessey, Jae‐Wook Jeong, Steven L. Young, Lucio Miele, Michael Strug, Ren‐Wei Su, P. Serafini, Yalda Afshar and Warren B. Nothnick and has published in prestigious journals such as Nature Communications, Development and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Niraj Joshi

20 papers receiving 553 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Niraj Joshi United States 13 373 343 298 116 44 21 560
Dong-Kee Lee United States 8 223 0.6× 238 0.7× 106 0.4× 217 1.9× 153 3.5× 8 540
Tomoko Tsuzuki Japan 12 330 0.9× 371 1.1× 227 0.8× 112 1.0× 58 1.3× 18 584
Diana Monsivais United States 12 540 1.4× 314 0.9× 464 1.6× 116 1.0× 120 2.7× 13 720
Raimund Dietze Germany 13 233 0.6× 125 0.4× 134 0.4× 120 1.0× 52 1.2× 21 415
Teresa A. Henderson United Kingdom 8 457 1.2× 494 1.4× 257 0.9× 87 0.8× 259 5.9× 8 739
Areege Mustafa Kamal Iraq 10 154 0.4× 141 0.4× 126 0.4× 85 0.7× 100 2.3× 19 383
Bayasula Japan 14 321 0.9× 132 0.4× 86 0.3× 166 1.4× 36 0.8× 23 499
Reinaldo González-Ramos Belgium 12 888 2.4× 627 1.8× 607 2.0× 75 0.6× 90 2.0× 18 1.0k
Akemi Nishigaki Japan 13 204 0.5× 185 0.5× 122 0.4× 123 1.1× 46 1.0× 23 426
Qiliang Xin China 13 155 0.4× 150 0.4× 58 0.2× 206 1.8× 95 2.2× 20 479

Countries citing papers authored by Niraj Joshi

Since Specialization
Citations

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

Fields of papers citing papers by Niraj Joshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Niraj Joshi

This figure shows the co-authorship network connecting the top 25 collaborators of Niraj Joshi. A scholar is included among the top collaborators of Niraj Joshi 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 Niraj Joshi. Niraj Joshi 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.
Burns, Gregory W., et al.. (2024). YAP1 and WWTR1 are required for murine pregnancy initiation. Reproduction. 169(1). 1 indexed citations
2.
Ochoa-Bernal, Maria Ariadna, et al.. (2024). The Regulation of MicroRNA-21 by Interleukin-6 and Its Role in the Development of Fibrosis in Endometriotic Lesions. International Journal of Molecular Sciences. 25(16). 8994–8994. 5 indexed citations
3.
Song, Yong, et al.. (2023). Spheroids as a model for endometriotic lesions. JCI Insight. 8(11). 12 indexed citations
4.
Kai, Kentaro, Niraj Joshi, Gregory W. Burns, et al.. (2023). MicroRNA-210-3p Regulates Endometriotic Lesion Development by Targeting IGFBP3 in Baboons and Women with Endometriosis. Reproductive Sciences. 30(10). 2932–2944. 7 indexed citations
5.
Szwarc, Maria M., Rodrigo Fernandez‐Valdivia, David M. Lonard, et al.. (2022). Early growth response 1 transcription factor is essential for the pathogenic properties of human endometriotic epithelial cells. Reproduction. 164(2). 41–54. 5 indexed citations
6.
DeMayo, Francesco J., et al.. (2022). Aberrant uterine folding in mice disrupts implantation chamber formation and alignment of embryo-uterine axes. Development. 149(11). 12 indexed citations
7.
Wilson, Mike R., Jake J. Reske, Julie Koeman, et al.. (2022). SWI/SNF Antagonism of PRC2 Mediates Estrogen-Induced Progesterone Receptor Expression. Cells. 11(6). 1000–1000. 15 indexed citations
8.
Joshi, Niraj, Hamid‐Reza Kohan‐Ghadr, Damian Roqueiro, et al.. (2021). Genetic and epigenetic changes in the eutopic endometrium of women with endometriosis: association with decreased endometrial αvβ3 integrin expression. Molecular Human Reproduction. 27(6). 17 indexed citations
9.
Joshi, Niraj, et al.. (2020). Establishment of an Immortalized Endometriotic Stromal Cell Line from Human Ovarian Endometrioma. Reproductive Sciences. 27(11). 2082–2091. 13 indexed citations
10.
Su, Ren‐Wei, Niraj Joshi, Tae Hoon Kim, et al.. (2020). Interleukin-6 (IL-6) Activates the NOTCH1 Signaling Pathway Through E-Proteins in Endometriotic Lesions. The Journal of Clinical Endocrinology & Metabolism. 105(5). 1316–1326. 36 indexed citations
11.
Fazleabas, Asgerally T., P. Serafini, Yalda Afshar, et al.. (2020). Progesterone resistance in endometriosis is modulated by the altered expression of microRNA-29c and FKBP4. UNC Libraries.
12.
Wilson, Mike R., Jake J. Reske, Julie Koeman, et al.. (2019). ARID1A and PI3-kinase pathway mutations in the endometrium drive epithelial transdifferentiation and collective invasion. Nature Communications. 10(1). 3554–3554. 93 indexed citations
13.
Banerjee, Sudeep, et al.. (2017). Melatonin protects against chromium (VI) induced hepatic oxidative stress and toxicity: Duration dependent study with realistic dosage. Interdisciplinary Toxicology. 10(1). 20–29. 16 indexed citations
14.
Joshi, Niraj, Yalda Afshar, Jae‐Wook Jeong, et al.. (2016). Progesterone resistance in endometriosis is modulated by the altered expression of microRNA-29c and FKBP4. The Journal of Clinical Endocrinology & Metabolism. 102(1). jc.2016–2076. 69 indexed citations
15.
16.
Joshi, Niraj, Gadisetti V.R. Chandramouli, Sok Kean Khoo, et al.. (2015). Altered expression of microRNA-451 in eutopic endometrium of baboons (Papio anubis) with endometriosis. Human Reproduction. 30(12). dev229–dev229. 33 indexed citations
17.
Strug, Michael, Niraj Joshi, Jae‐Wook Jeong, et al.. (2014). Decreased Notch Pathway Signaling in the Endometrium of Women With Endometriosis Impairs Decidualization. The Journal of Clinical Endocrinology & Metabolism. 100(3). E433–E442. 107 indexed citations
18.
19.
Joshi, Niraj, et al.. (2009). Effect of Short-Term Metal Exposure on Epididymal Antioxidant Status and Sperm Parameters and the Protective Role of Melatonin.. Biology of Reproduction. 81(Suppl_1). 648–648. 1 indexed citations
20.
Neuder, L., et al.. (2005). Relationship Between Pre-fresh NEFAs, Fresh Butterfat Percentage, Progesterone Levels Following Pre-Synch and Pregnancy Rates. American Association of Bovine Practitioners Conference Proceedings. 294–295. 1 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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