Shubha Anand

2.8k citations
19 papers · 2.0k indexed · 2 hit papers · h-index 14
Topics
Chronic Myeloid Leukemia Treatments (7 papers)Myeloproliferative Neoplasms: Diagnosis and Treatment (6 papers)Kruppel-like factors research (5 papers)

In The Last Decade

Shubha Anand

19 papers receiving 2.0k citations

Hit Papers

Insights into DNA recombination from the structure of a R...200220262010201820022003100200300400500

Peers

Shubha Anand
Comparison fields: 5 of 78
  • Molecular Biology 1.3k
  • Oncology 566
  • Genetics 469
  • Cell Biology 464
  • Hematology 321
Replace Maurizio Di Liberto with:
Maurizio Di Liberto United States
Marito Araki Japan
Evan Pisick United States
Todd Hembrough United States
Luke F. Peterson United States
Olivier Rosnet France
Amanda L. Christie United States
Masao Mizuki Japan
Max Dobles United States
Lisa A. Moreau United States
Shubha Anand relative to Maurizio Di Liberto United States Maurizio Di Liberto's profile →
Citations per field
00.5×1.7×
Maurizio Di Liberto · 1×
Citations per year

Countries citing papers authored by Shubha Anand

Since Specialization
Citations

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

Fields of papers citing papers by Shubha Anand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shubha Anand

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 5
2 1
3 4
4 8
5 43
6 5
7 37
8 51
9 31
10 82
11 159
12 196
13
AURORA-A amplification overrides the mitotic spindle assembly checkpoint, inducing resistance to Taxolbreakdown →
504
14
Insights into DNA recombination from the structure of a RAD51–BRCA2 complexbreakdown →
540
15 21
16 212
17 25
18 39
19 26

About Shubha Anand

Shubha Anand is a scholar working on Genetics, Hematology and Oncology, having authored 19 papers that have together received 2.0k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (7 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (6 papers) and Kruppel-like factors research (5 papers). The work is most often cited by research in Genetics (469 citations), Hematology (321 citations) and Cell Biology (464 citations). Shubha Anand has collaborated with scholars based in United Kingdom, Italy and Australia. Frequent co-authors include Ashok R. Venkitaraman, Sue Penrhyn-Lowe, Luca Pellegrini, David S. Yu, Mi-Young Lee, Thomas Lo, Tom L. Blundell, Óscar R. Burrone, Dimitar G. Efremov and Mikhail Lomonosov. Their work appears in journals such as Nature, The Journal of Experimental Medicine and Genes & Development.

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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