Raktim Sinha

2.2k citations
7 papers · 1.4k indexed · h-index 6
  • Hematology top 5%
    • Multiple Myeloma Research and Treatments 3
  • Genetics top 10%
    • Genomic variations and chromosomal abnormalities 3
    • Glioma Diagnosis and Treatment 1
    • Glycosylation and Glycoproteins Research 2
    • Ubiquitin and proteasome pathways 1
    • Molecular Biology Techniques and Applications 1
    • Pancreatic and Hepatic Oncology Research 1
    • Cholangiocarcinoma and Gallbladder Cancer Studies 1

Raktim Sinha

7 papers receiving 1.4k citations

Peers

Raktim Sinha
Comparison fields: 5 of 105
  • Hematology 290
  • Cancer Research 261
  • Cell Biology 247
  • Genetics 142
  • Molecular Biology 897
Replace Tsz Kan Fung with:
Tsz Kan Fung Hong Kong
J. Keith Vass United Kingdom
Toshiki Mori Japan
Luís Lombardía Spain
Alison A. Bertuch United States
Ursula Just Germany
Tim Lammens Belgium
José F. Ruiz Spain
Natsuko Chiba Japan
Augusto F. Lois United States
Raktim Sinha relative to Tsz Kan Fung Hong Kong Tsz Kan Fung's profile →
Citations per field
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Tsz Kan Fung · 1×
Citations per year

Countries citing papers authored by Raktim Sinha

Since Specialization
Citations

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

Fields of papers citing papers by Raktim Sinha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Raktim Sinha, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Raktim Sinha Line = papers co-authored together Raktim Sinha links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2011408
2 200754
3 2007311
4 2006140
5 2006291
6 20045
7 2004210

About Raktim Sinha

Raktim Sinha is a scholar working on Hematology, Cancer Research and Genetics, having authored 7 papers that have together received 1.4k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (3 papers), Genomic variations and chromosomal abnormalities (3 papers), Glycosylation and Glycoproteins Research (2 papers), Pancreatic and Hepatic Oncology Research (1 paper), Cholangiocarcinoma and Gallbladder Cancer Studies (1 paper), Ubiquitin and proteasome pathways (1 paper), Glioma Diagnosis and Treatment (1 paper) and Molecular Biology Techniques and Applications (1 paper). The work is most often cited by research in Hematology (290 citations), Cancer Research (261 citations) and Cell Biology (247 citations). Raktim Sinha has collaborated with scholars based in United States and France. Frequent co-authors include John Quackenbush, Eleanor Howe, Daniel Schlauch, Ronald A. DePinho, Bin Feng, Cameron Brennan, Lynda Chin, Giovanni Tonon, Alexei Protopopov and Marina Protopopova. Their work appears in journals such as Cancer Cell, Cancer Research, Blood, Proceedings of the National Academy of Sciences and Bioinformatics.

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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