Pankaj Lamba

843 total citations
17 papers, 682 citations indexed

About

Pankaj Lamba is a scholar working on Molecular Biology, Genetics and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Pankaj Lamba has authored 17 papers receiving a total of 682 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 6 papers in Genetics and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Pankaj Lamba's work include TGF-β signaling in diseases (8 papers), Kruppel-like factors research (7 papers) and Genetic Syndromes and Imprinting (3 papers). Pankaj Lamba is often cited by papers focused on TGF-β signaling in diseases (8 papers), Kruppel-like factors research (7 papers) and Genetic Syndromes and Imprinting (3 papers). Pankaj Lamba collaborates with scholars based in Canada, United States and Sweden. Pankaj Lamba's co-authors include Daniel J. Bernard, Jérôme Fortin, Ying Wang, Stella Tran, Vishal Khivansara, Ying Wang, Tord Hjalt, Marco Bonomi, Mark S. Roberson and Luca Persani and has published in prestigious journals such as PLoS ONE, Biochemical and Biophysical Research Communications and Endocrinology.

In The Last Decade

Pankaj Lamba

17 papers receiving 682 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pankaj Lamba Canada	14	406	262	210	170	122	17	682
Wanbao Niu China	13	337 0.8×	364 1.4×	150 0.7×	173 1.0×	24 0.2×	14	622
Kanako Miyabayashi Japan	17	624 1.5×	174 0.7×	484 2.3×	368 2.2×	80 0.7×	22	974
T. L. Greco United States	10	359 0.9×	100 0.4×	310 1.5×	148 0.9×	116 1.0×	13	684
Chad M. Wayne United States	8	376 0.9×	343 1.3×	303 1.4×	300 1.8×	51 0.4×	8	729
Marja Ooms Netherlands	13	854 2.1×	251 1.0×	351 1.7×	277 1.6×	53 0.4×	15	1.1k
Jean-Luc Pitetti Switzerland	11	552 1.4×	244 0.9×	517 2.5×	461 2.7×	103 0.8×	12	994
Joerg Gromoll Germany	10	323 0.8×	294 1.1×	209 1.0×	447 2.6×	84 0.7×	20	676
Yasmine Neirijnck Switzerland	13	380 0.9×	90 0.3×	236 1.1×	116 0.7×	44 0.4×	17	576
Luz Andreone Argentina	11	308 0.8×	101 0.4×	216 1.0×	252 1.5×	128 1.0×	20	548
C D Smyth United Kingdom	12	264 0.7×	598 2.3×	195 0.9×	485 2.9×	124 1.0×	12	869

Countries citing papers authored by Pankaj Lamba

Since Specialization

Citations

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

Fields of papers citing papers by Pankaj Lamba

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pankaj Lamba

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

All Works

Sort: Min cites: Since: Top N: Style:

17 of 17 papers shown

Singh, Manpreet, Pankaj Lamba, Anshuman Srivastava, & Dipendu Bhunia. (2017). Long Term Effect of Partially Replacing Cement by Waste Marble Slurry in Concrete. 65–76. 4 indexed citations

Fortin, Jérôme, Luisina Ongaro, Yining Li, et al.. (2015). Minireview: Activin Signaling in Gonadotropes: What Does the FOX say… to the SMAD?. Molecular Endocrinology. 29(7). 963–977. 31 indexed citations

Lamba, Pankaj, et al.. (2015). Empty Sella Syndrome: A Case Report and Literature Review. Neuroscience & Medicine. 6(1). 42–45. 1 indexed citations

Tran, Stella, Ying Wáng, Pankaj Lamba, et al.. (2013). The CpG Island in the Murine Foxl2 Proximal Promoter Is Differentially Methylated in Primary and Immortalized Cells. PLoS ONE. 8(10). e76642–e76642. 13 indexed citations

Tran, Stella, Pankaj Lamba, Ying Wang, & Daniel J. Bernard. (2011). SMADs and FOXL2 Synergistically Regulate Murine FSHβ Transcription Via a Conserved Proximal Promoter Element. Molecular Endocrinology. 25(7). 1170–1183. 53 indexed citations

Bernard, Daniel J., Jérôme Fortin, Ying Wang, & Pankaj Lamba. (2010). Mechanisms of FSH synthesis: what we know, what we don't, and why you should care. Fertility and Sterility. 93(8). 2465–2485. 111 indexed citations

Lamba, Pankaj, Ying Wang, Stella Tran, et al.. (2010). Activin A Regulates Porcine Follicle-Stimulating Hormone β-Subunit Transcription via Cooperative Actions of SMADs and FOXL2. Endocrinology. 151(11). 5456–5467. 38 indexed citations

Bąk, Beata, Pankaj Lamba, Ying Wang, et al.. (2009). Activins regulate 17β-hydroxysteroid dehydrogenase type I transcription in murine gonadotrope cells. Journal of Endocrinology. 201(1). 89–104. 10 indexed citations

Hong, Dun, Xingwang Li, Qingquan Lian, et al.. (2009). Mono-(2-ethylhexyl) phthalate (MEHP) regulates glucocorticoid metabolism through 11β-hydroxysteroid dehydrogenase 2 in murine gonadotrope cells. Biochemical and Biophysical Research Communications. 389(2). 305–309. 23 indexed citations

10.

Stevenson, Tyler J., Kathleen S. Lynch, Pankaj Lamba, Gregory F. Ball, & Daniel J. Bernard. (2009). Cloning of Gonadotropin-Releasing Hormone I Complementary DNAs in Songbirds Facilitates Dissection of Mechanisms Mediating Seasonal Changes in Reproduction. Endocrinology. 150(4). 1826–1833. 37 indexed citations

11.

Lamba, Pankaj, Jérôme Fortin, Stella Tran, Ying Wang, & Daniel J. Bernard. (2009). A Novel Role for the Forkhead Transcription Factor FOXL2 in Activin A-Regulated Follicle-Stimulating Hormone β Subunit Transcription. Molecular Endocrinology. 23(7). 1001–1013. 72 indexed citations

12.

Fortin, Jérôme, Pankaj Lamba, Ying Wang, & Daniel J. Bernard. (2008). Conservation of mechanisms mediating gonadotrophin-releasing hormone 1 stimulation of human luteinizing hormone β subunit transcription. Molecular Human Reproduction. 15(2). 77–87. 28 indexed citations

13.

Lamba, Pankaj, Tord Hjalt, & Daniel J. Bernard. (2008). Novel forms of Paired-like homeodomain transcription factor 2 (PITX2): Generation by alternative translation initiation and mRNA splicing. BMC Molecular Biology. 9(1). 31–31. 33 indexed citations

14.

Lamba, Pankaj, et al.. (2008). Paired-Like Homeodomain Transcription Factors 1 and 2 Regulate Follicle-Stimulating Hormone β-Subunit Transcription through a Conserved cis-Element. Endocrinology. 149(6). 3095–3108. 36 indexed citations

15.

Wang, Ying, Jérôme Fortin, Pankaj Lamba, et al.. (2008). Activator Protein-1 and Smad Proteins Synergistically Regulate Human Follicle-Stimulating Hormone β-Promoter Activity. Endocrinology. 149(11). 5577–5591. 75 indexed citations

16.

Khivansara, Vishal, et al.. (2007). Bone morphogenetic protein 2 and activin A synergistically stimulate follicle-stimulating hormone β subunit transcription. Journal of Molecular Endocrinology. 38(2). 315–330. 52 indexed citations

17.

Lamba, Pankaj, et al.. (2006). Acute regulation of murine follicle-stimulating hormone β subunit transcription by activin A. Journal of Molecular Endocrinology. 36(1). 201–220. 65 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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