Heena V. Lad

28 total papers · 1.1k total citations
9 papers, 326 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 326 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 Genomics and Phylogenetic Studies (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 Genomics and Phylogenetic Studies (2 papers). Heena V. Lad collaborates with scholars based in United Kingdom, United States and Sweden. Heena V. Lad's co-authors include Cathy Fernandes, Leonard C. Schalkwyk, José L. Payá-Cano, Lin Liu, Steve D. M. Brown, Rachel L. Kember, Maddy Parsons, Georgios V. Gkoutos, John M. Hancock and Andrew Blake 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 323 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Heena V. Lad	125	59	49	45	43	9	326
Sudha Krishnan	97 0.8×	51 0.9×	62 1.3×	19 0.4×	50 1.2×	9	339
Sabine Hessler	137 1.1×	91 1.5×	20 0.4×	39 0.9×	17 0.4×	14	363
Todd L. Stincic	110 0.9×	96 1.6×	49 1.0×	14 0.3×	30 0.7×	19	352
Joyce Zhang	125 1.0×	31 0.5×	18 0.4×	22 0.5×	105 2.4×	9	358
Ingo Voigt	112 0.9×	79 1.3×	33 0.7×	22 0.5×	18 0.4×	21	279
Kevin J. Catt	158 1.3×	78 1.3×	30 0.6×	24 0.5×	24 0.6×	9	335
Laura M. Belluscio	89 0.7×	25 0.4×	17 0.3×	20 0.4×	33 0.8×	15	330
Marek Pytliak	113 0.9×	103 1.7×	18 0.4×	19 0.4×	14 0.3×	8	354
Xavier Gallego	147 1.2×	133 2.3×	52 1.1×	50 1.1×	46 1.1×	13	317
Pedro Zamorano	59 0.5×	49 0.8×	37 0.8×	21 0.5×	34 0.8×	12	340

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

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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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