Tanushree Haldar

571 citations
16 papers · 298 indexed · h-index 8
Topics
Genetic Associations and Epidemiology (13 papers)Genetic Mapping and Diversity in Plants and Animals (7 papers)Genetic and phenotypic traits in livestock (4 papers)
Partner nations
United StatesIndiaPoland

In The Last Decade

Tanushree Haldar

15 papers receiving 295 citations

Peers

Tanushree Haldar
Comparison fields: 5 of 70
  • Genetics 177
  • Molecular Biology 114
  • Surgery 44
  • Endocrinology, Diabetes and Metabolism 35
  • Epidemiology 32
Replace Aarti Surti with:
Aarti Surti United States
Battini Mohan Reddy India
Said Al‐Yahyaee Oman
Francisco Barajas‐Olmos Mexico
Daniela Siváková Slovakia
J. Y. Park South Korea
Varinderpal Kaur United States
Savita Karthikeyan United Kingdom
Marie Neergaard Harder Denmark
Ioanna Tachmazidou United Kingdom
Tanushree Haldar relative to Aarti Surti United States Aarti Surti's profile →
Citations per field
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Aarti Surti · 1×
Citations per year

Countries citing papers authored by Tanushree Haldar

Since Specialization
Citations

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

Fields of papers citing papers by Tanushree Haldar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tanushree Haldar

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 3
2 4
3 1
4 11
5 3
6 8
7 20
8 0
9 170
10 28
11 9
12 4
13 4
14 2
15 21
16 10

About Tanushree Haldar

Tanushree Haldar is a scholar working on Genetics, Statistics and Probability and General Economics, Econometrics and Finance, having authored 16 papers that have together received 298 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (13 papers), Genetic Mapping and Diversity in Plants and Animals (7 papers) and Genetic and phenotypic traits in livestock (4 papers). The work is most often cited by research in Genetics (177 citations), Cancer Research (32 citations) and Endocrinology, Diabetes and Metabolism (35 citations). Tanushree Haldar has collaborated with scholars based in United States, India and Poland. Frequent co-authors include Thomas J. Hoffmann, Carlos Iribarren, Dilrini K. Ranatunga, Saurabh Ghosh, Neil Risch, Ronald M. Krauss, Catherine Schaefer, Marisa W. Medina, Elizabeth Theusch and Mark Kvale. Their work appears in journals such as Nature Genetics, Bioinformatics and PLoS Genetics.

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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