Deeksha Vishwamitra

1.2k citations
27 papers · 492 indexed · h-index 11
Topics
Multiple Myeloma Research and Treatments (11 papers)Chronic Lymphocytic Leukemia Research (5 papers)Protein Degradation and Inhibitors (5 papers)

In The Last Decade

Deeksha Vishwamitra

23 papers receiving 487 citations

Peers

Deeksha Vishwamitra
Comparison fields: 5 of 67
  • Molecular Biology 214
  • Oncology 191
  • Biomedical Engineering 142
  • Cancer Research 121
  • Pulmonary and Respiratory Medicine 71
Replace Mahshid Saleh with:
Mahshid Saleh Iran
Shima Uneda Japan
Lourdes Cortes‐Dericks Germany
Takahiro Heishi Japan
Cynthia S. Snyder United States
Yang Xun China
Jingxuan Liu United States
Thuy Trinh Germany
Karl‐Ludwig Schäfer Germany
Rakesh Bam United States
Deeksha Vishwamitra relative to Mahshid Saleh Iran Mahshid Saleh's profile →
Citations per field
00.5×3.7×
Mahshid Saleh · 1×
Citations per year

Countries citing papers authored by Deeksha Vishwamitra

Since Specialization
Citations

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

Fields of papers citing papers by Deeksha Vishwamitra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deeksha Vishwamitra

This figure shows the co-authorship network connecting the top 25 collaborators of Deeksha Vishwamitra. A scholar is included among the top collaborators of Deeksha Vishwamitra 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 Deeksha Vishwamitra. Deeksha Vishwamitra 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 0
2 5
3 0
4 0
5 8
6 9
7 1
8 1
9 0
10 26
11 16
12 1
13 1
14 22
15 10
16 47
17 1
18 12
19 184
20 47

About Deeksha Vishwamitra

Deeksha Vishwamitra is a scholar working on Hematology, Genetics and Oncology, having authored 27 papers that have together received 492 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (11 papers), Chronic Lymphocytic Leukemia Research (5 papers) and Protein Degradation and Inhibitors (5 papers). The work is most often cited by research in Cancer Research (121 citations), Oncology (191 citations) and Hematology (63 citations). Deeksha Vishwamitra has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Hesham M. Amin, Ping Shi, Salah-Eddine Lamhamedi-Cherradi, Elizabeth G. Demicco, Vandhana Ramamoorthy, Joseph A. Ludwig, Mary C. Farach‐Carson, F. Kurtis Kasper, Eliza Li Shan Fong and Brian A. Menegaz. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Blood.

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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