Pankaj Lamba

957 citations
19 papers · 761 · h-index 15

Impact in

Papers in

    • TGF-β signaling in diseases 8
    • Kruppel-like factors research 7
    • FOXO transcription factor regulation 3
    • Genetic Syndromes and Imprinting 3
    • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 2

Pankaj Lamba

19 papers receiving 758 citations

Peers

Pankaj Lamba
Comparison fields: 5 of 77
  • Reproductive Medicine 168
  • Public Health, Environmental and Occupational Health 270
  • Endocrinology, Diabetes and Metabolism 117
  • Genetics 202
  • Health Informatics 8
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Pankaj Lamba, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Pankaj Lamba Line = papers co-authored together Pankaj Lamba links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2010113
2 200875
3 200973
4 200666
5 201155
6 200752
7 201150
8 201039
9 200937
10 200836
11 201534
12 200833
13 200829
14 200923
15 202118
16 201313
17 200910
18 20174
19 20151

About Pankaj Lamba

Pankaj Lamba is a scholar working on Molecular Biology, Genetics, Public Health, Environmental and Occupational Health, Endocrinology, Diabetes and Metabolism and Pediatrics, Perinatology and Child Health, having authored 19 papers that have together received 761 indexed citations. Recurring topics across this work include TGF-β signaling in diseases (8 papers), Kruppel-like factors research (7 papers), Genetic Syndromes and Imprinting (3 papers), FOXO transcription factor regulation (3 papers), Reproductive Biology and Fertility (3 papers), Hypothalamic control of reproductive hormones (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers) and Growth Hormone and Insulin-like Growth Factors (2 papers). The work is most often cited by research in Reproductive Medicine (168 citations), Public Health, Environmental and Occupational Health (270 citations), Endocrinology, Diabetes and Metabolism (117 citations), Genetics (202 citations) and Health Informatics (8 citations). Pankaj Lamba has collaborated with scholars based in Canada, United States and United Arab Emirates. Frequent co-authors include Daniel J. Bernard, Jérôme Fortin, Ying Wang, Stella Tran, Ying Wang, Vishal Khivansara, Luca Persani, Tord Hjalt, Mark S. Roberson and Marco Bonomi. Their work appears in journals such as Endocrinology, Molecular Endocrinology, Journal of Molecular Endocrinology, Biochemical and Biophysical Research Communications and BMC Molecular Biology.

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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