Madhu Lal

731 total citations
11 papers, 527 citations indexed

About

Madhu Lal is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis and Genetics. According to data from OpenAlex, Madhu Lal has authored 11 papers receiving a total of 527 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Health, Toxicology and Mutagenesis and 2 papers in Genetics. Recurrent topics in Madhu Lal's work include RNA Interference and Gene Delivery (5 papers), Virus-based gene therapy research (2 papers) and Extracellular vesicles in disease (2 papers). Madhu Lal is often cited by papers focused on RNA Interference and Gene Delivery (5 papers), Virus-based gene therapy research (2 papers) and Extracellular vesicles in disease (2 papers). Madhu Lal collaborates with scholars based in United States, Norway and Austria. Madhu Lal's co-authors include Marc Ferrer, Debasis Mondal, Asim B. Abdel‐Mageed, Amrita Datta, Lauren McGee, Hogyoung Kim, Adedoyin Johnson, Sudha Talwar, Juan Marugán and Xin Hu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Scientific Reports and Cancer Letters.

In The Last Decade

Madhu Lal

9 papers receiving 525 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Madhu Lal United States 9 456 239 88 47 43 11 527
Qingchun Cai China 14 282 0.6× 143 0.6× 67 0.8× 24 0.5× 94 2.2× 31 484
Jennifer R. Czochor United States 8 266 0.6× 206 0.9× 52 0.6× 11 0.2× 77 1.8× 8 409
Kim Clarke United Kingdom 11 251 0.6× 95 0.4× 93 1.1× 30 0.6× 65 1.5× 19 487
Ahmet Alptekin United States 13 284 0.6× 176 0.7× 32 0.4× 25 0.5× 44 1.0× 27 483
Renfu Shang United States 7 415 0.9× 327 1.4× 36 0.4× 19 0.4× 16 0.4× 9 543
Xicai Wang China 13 238 0.5× 142 0.6× 67 0.8× 14 0.3× 82 1.9× 31 397
K. Tao Canada 10 334 0.7× 216 0.9× 51 0.6× 16 0.3× 46 1.1× 34 520
Cristiana Zanetti Italy 8 190 0.4× 97 0.4× 97 1.1× 35 0.7× 46 1.1× 13 327
Yunshan Wang China 13 220 0.5× 80 0.3× 27 0.3× 40 0.9× 41 1.0× 30 378

Countries citing papers authored by Madhu Lal

Since Specialization
Citations

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

Fields of papers citing papers by Madhu Lal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Madhu Lal

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

All Works

11 of 11 papers shown
1.
Kenny, Hilary A., Peter C. Hart, Madhu Lal, et al.. (2021). The Natural Product β-Escin Targets Cancer and Stromal Cells of the Tumor Microenvironment to Inhibit Ovarian Cancer Metastasis. Cancers. 13(16). 3931–3931. 20 indexed citations
2.
Klanert, Gerald, Michael Melcher, Steven A. Titus, et al.. (2019). A cross-species whole genome siRNA screen in suspension-cultured Chinese hamster ovary cells identifies novel engineering targets. Scientific Reports. 9(1). 8689–8689. 20 indexed citations
3.
Betenbaugh, Michael J., et al.. (2018). Genome-Wide High-Throughput RNAi Screening for Identification of Genes Involved in Protein Production. Methods in molecular biology. 1850. 209–219. 8 indexed citations
4.
Datta, Amrita, Hogyoung Kim, Lauren McGee, et al.. (2018). High-throughput screening identified selective inhibitors of exosome biogenesis and secretion: A drug repurposing strategy for advanced cancer. Scientific Reports. 8(1). 8161–8161. 224 indexed citations
5.
Lal, Madhu, et al.. (2017). mTOR and Rho family of GTPases regulate epithelial phenotype in injured retinal pigment epithelium. Investigative Ophthalmology & Visual Science. 58(8). 594–594.
6.
Panda, Debasis, Daniel J. Fernandez, Madhu Lal, Eugen Buehler, & Bernard Moss. (2017). Triad of human cellular proteins, IRF2, FAM111A, and RFC3, restrict replication of orthopoxvirus SPI-1 host-range mutants. Proceedings of the National Academy of Sciences. 114(14). 3720–3725. 27 indexed citations
7.
9.
Lal, Madhu, et al.. (2009). AKT1 mediates bypass of the G1/S checkpoint after genotoxic stress in normal human cells. Cell Cycle. 8(10). 1589–1602. 25 indexed citations
10.
Camilli, Tura C., et al.. (2008). Bypass of hexavalent chromium-induced growth arrest by a protein tyrosine phosphatase inhibitor: Enhanced survival and mutagenesis. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 660(1-2). 40–46. 13 indexed citations
11.
Lal, Madhu, et al.. (1981). Motivation Across Three Job Levels. Vikalpa The Journal for Decision Makers. 6(2). 101–114.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026