Heena V. Lad

1.1k total citations
9 papers, 328 citations indexed

About

Heena V. Lad is a scholar working on Molecular Biology, Genetics and Small Animals. According to data from OpenAlex, Heena V. Lad has authored 9 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Genetics and 1 paper in Small Animals. Recurrent topics in Heena V. Lad's work include Genetic Mapping and Diversity in Plants and Animals (3 papers), Biomedical Text Mining and Ontologies (2 papers) and Bioinformatics and Genomic Networks (2 papers). Heena V. Lad is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (3 papers), Biomedical Text Mining and Ontologies (2 papers) and Bioinformatics and Genomic Networks (2 papers). Heena V. Lad collaborates with scholars based in United Kingdom, Sweden and Italy. Heena V. Lad's co-authors include Leonard C. Schalkwyk, Cathy Fernandes, José L. Payá-Cano, Lin Liu, Steve D. M. Brown, Rachel L. Kember, Maddy Parsons, Patrick M. Nolan, Georgios V. Gkoutos and Valter Tucci and has published in prestigious journals such as International Journal of Molecular Sciences, Neuroscience and Physiology & Behavior.

In The Last Decade

Heena V. Lad

9 papers receiving 325 citations

Peers

Heena V. Lad
Comparison fields: 5 of 84
  • Molecular Biology 126
  • Cellular and Molecular Neuroscience 59
  • Genetics 50
  • Public Health, Environmental and Occupational Health 45
  • Behavioral Neuroscience 43
Replace Mingkwan Greenwood with:
Mingkwan Greenwood United Kingdom
Sabine Hessler Germany
Adrian Centers United States
Valentina Sanghez United States
Kazimierz Kochman Poland
Jolanta Polkowska Poland
W. R. A. K. J. S. Rajapaksha United Kingdom
Masakatsu Kato Japan
Alain Locatelli France
Nikola Dimitrijević United States
Mingkwan Greenwood United Kingdom View profile →
Citations per field, relative to Heena V. Lad
Heena V. Lad · 1×
Citations per year, relative to Heena V. Lad
Heena V. Lad · 1×

Countries citing papers authored by Heena V. Lad

Since Specialization
Citations

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

Fields of papers citing papers by Heena V. Lad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Heena V. Lad. 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 Heena V. Lad. The network helps show where Heena V. Lad may publish in the future.

Co-authorship network of co-authors of Heena V. Lad

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

All Works

9 of 9 papers shown
# Work Indexed citations
1 7
2 14
3 38
4 56
5 85
6 27
7 14
8 38
9 49

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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2026