Shweta U. Dhar

3.9k citations
31 papers · 583 indexed · h-index 16
Topics
BRCA gene mutations in cancer (10 papers)Autism Spectrum Disorder Research (8 papers)Family and Disability Support Research (8 papers)

In The Last Decade

Shweta U. Dhar

31 papers receiving 578 citations

Peers

Shweta U. Dhar
Comparison fields: 5 of 66
  • Genetics 368
  • Cognitive Neuroscience 173
  • Molecular Biology 154
  • Pediatrics, Perinatology and Child Health 100
  • Clinical Psychology 97
Replace Tanya N. Eble with:
Tanya N. Eble United States
Charles M. Strom United States
Mercy Laurino United States
Gabrielle J. Halpern Israel
David J. Aughton United States
Heidi Cope United States
Raidah Albaradie Saudi Arabia
Li‐Ping Tsai Taiwan
Samantha A. Schrier Vergano United States
Karen E. Wain United States
Shweta U. Dhar relative to Tanya N. Eble United States Tanya N. Eble's profile →
Citations per field
00.5×3.7×
Tanya N. Eble · 1×
Citations per year

Countries citing papers authored by Shweta U. Dhar

Since Specialization
Citations

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

Fields of papers citing papers by Shweta U. Dhar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shweta U. Dhar. 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 Shweta U. Dhar. The network helps show where Shweta U. Dhar may publish in the future.

Co-authorship network of co-authors of Shweta U. Dhar

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 6
3 1
4 5
5 1
6 15
7 3
8 26
9 23
10 3
11 15
12 22
13 71
14 35
15 37
16 5
17 80
18 28
19 4
20 45

About Shweta U. Dhar

Shweta U. Dhar is a scholar working on Genetics, Cognitive Neuroscience and Clinical Psychology, having authored 31 papers that have together received 583 indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (10 papers), Autism Spectrum Disorder Research (8 papers) and Family and Disability Support Research (8 papers). The work is most often cited by research in Genetics (368 citations), Cognitive Neuroscience (173 citations) and Clinical Biochemistry (59 citations). Shweta U. Dhar has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Lei‐Shih Chen, Lei Xu, Tanya N. Eble, Tse‐Yang Huang, Sharon E. Plon, H. Paul Cooper, Susan G. Hilsenbeck, Lorraine Potocki, Oi‐Man Kwok and Eunju Jung. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Bone and Joint Surgery and American Journal of Preventive Medicine.

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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