Raktim Sinha

2.2k total citations
7 papers, 1.4k citations indexed

About

Raktim Sinha is a scholar working on Molecular Biology, Hematology and Genetics. According to data from OpenAlex, Raktim Sinha has authored 7 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Hematology and 3 papers in Genetics. Recurrent topics in Raktim Sinha's work include Multiple Myeloma Research and Treatments (3 papers), Genomic variations and chromosomal abnormalities (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Raktim Sinha is often cited by papers focused on Multiple Myeloma Research and Treatments (3 papers), Genomic variations and chromosomal abnormalities (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Raktim Sinha collaborates with scholars based in United States and France. Raktim Sinha's co-authors include John Quackenbush, Daniel Schlauch, Eleanor Howe, Ronald A. DePinho, Lynda Chin, Cameron Brennan, Bin Feng, Alexei Protopopov, Giovanni Tonon and Kenneth C. Anderson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and Bioinformatics.

In The Last Decade

Raktim Sinha

7 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Raktim Sinha United States	6	897	305	290	261	247	7	1.4k
Tsz Kan Fung Hong Kong	21	1.5k 1.6×	506 1.7×	422 1.5×	308 1.2×	277 1.1×	29	1.9k
J. Keith Vass United Kingdom	19	1.2k 1.4×	391 1.3×	129 0.4×	229 0.9×	373 1.5×	38	1.8k
Luís Lombardía Spain	19	1.0k 1.1×	248 0.8×	113 0.4×	407 1.6×	176 0.7×	31	1.7k
Alison A. Bertuch United States	27	1.4k 1.6×	209 0.7×	343 1.2×	112 0.4×	73 0.3×	77	2.2k
Toshiki Mori Japan	16	1.6k 1.8×	868 2.8×	179 0.6×	301 1.2×	157 0.6×	24	2.4k
Xiaolong Fan China	26	979 1.1×	451 1.5×	154 0.5×	312 1.2×	78 0.3×	72	1.8k
José F. Ruiz Spain	17	1.0k 1.1×	171 0.6×	139 0.5×	377 1.4×	100 0.4×	29	1.4k
Ursula Just Germany	26	1.3k 1.5×	214 0.7×	226 0.8×	147 0.6×	233 0.9×	56	2.0k
Augusto F. Lois United States	10	1.1k 1.2×	966 3.2×	92 0.3×	343 1.3×	179 0.7×	14	1.9k
Timothy Bushnell United States	17	660 0.7×	229 0.8×	205 0.7×	134 0.5×	188 0.8×	28	1.2k

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 of co-authors of Raktim Sinha

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Howe, Eleanor, Raktim Sinha, Daniel Schlauch, & John Quackenbush. (2011). RNA-Seq analysis in MeV. Bioinformatics. 27(22). 3209–3210. 408 indexed citations

2.

Martin, Eric S., Giovanni Tonon, Raktim Sinha, et al.. (2007). Common and Distinct Genomic Events in Sporadic Colorectal Cancer and Diverse Cancer Types. Cancer Research. 67(22). 10736–10743. 54 indexed citations

3.

Carrasco, Daniel R., Kumar Sukhdeo, Marina Protopopova, et al.. (2007). The Differentiation and Stress Response Factor XBP-1 Drives Multiple Myeloma Pathogenesis. Cancer Cell. 11(4). 349–360. 311 indexed citations

4.

Maher, Elizabeth A., Cameron Brennan, Patrick Y. Wen, et al.. (2006). Marked Genomic Differences Characterize Primary and Secondary Glioblastoma Subtypes and Identify Two Distinct Molecular and Clinical Secondary Glioblastoma Entities. Cancer Research. 66(23). 11502–11513. 140 indexed citations

5.

Carrasco, Daniel R., Giovanni Tonon, Yongsheng Huang, et al.. (2006). High-resolution genomic profiles define distinct clinico-pathogenetic subgroups of multiple myeloma patients. Cancer Cell. 9(4). 313–325. 291 indexed citations

6.

Carrasco, Ruben D., Giovanni Tonon, Cameron Brennan, et al.. (2004). Comprehensive Genome-Wide Profile of Regional Gains and Losses in Multiple Myeloma Using Array-CGH: The 1q21 Amplification and Potential Role of the BCL-9 Gene in Multiple Myeloma Pathogenesis.. Blood. 104(11). 785–785. 5 indexed citations

7.

Aguirre, Andrew J., Cameron Brennan, Gerald Bailey, et al.. (2004). High-resolution characterization of the pancreatic adenocarcinoma genome. Proceedings of the National Academy of Sciences. 101(24). 9067–9072. 210 indexed citations

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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