M. Lamba

42 papers and 173 indexed citations i.

About

M. Lamba is a scholar working on Plant Science, Artificial Intelligence and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, M. Lamba has authored 42 papers receiving a total of 173 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Plant Science, 4 papers in Artificial Intelligence and 4 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in M. Lamba’s work include Occupational Health and Safety Research (3 papers), Pregnancy and preeclampsia studies (2 papers) and Sports Analytics and Performance (2 papers). M. Lamba is often cited by papers focused on Occupational Health and Safety Research (3 papers), Pregnancy and preeclampsia studies (2 papers) and Sports Analytics and Performance (2 papers). M. Lamba collaborates with scholars based in India, United States and Nepal. M. Lamba's co-authors include Milind Parle, Ajay Singh Verma, Urvashi Bhardwaj, Sarita Kumari, Naresh Kumar, Manoj Sharma, Rohit Agrawal, B. L. Choudhary, Pardeep Kumar and Seema Verma and has published in prestigious journals such as Organic & Biomolecular Chemistry, Plant Physiology and Biochemistry and ACS Omega.

In The Last Decade

Co-authorship network of co-authors of M. Lamba i

Fields of papers citing papers by M. Lamba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by M. Lamba

Since Specialization
Citations

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

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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2025