What is he best known for?
The fields of study he is best known for:
- Telecommunications
- Algebra
- Real number
Pavan Kumar focuses on Discrete mathematics, Combinatorics, Binary number, Finite field and Linear span.
His study in Discrete mathematics is interdisciplinary in nature, drawing from both Information theory, Distribution, Block code and Linear network coding.
His study in the fields of Prime under the domain of Combinatorics overlaps with other disciplines such as Omega.
The concepts of his Binary number study are interwoven with issues in Point, Multiplier, Coding theory and Autocorrelation.
His Finite field research is multidisciplinary, incorporating perspectives in Arithmetic and Reed–Solomon error correction.
His Linear span study incorporates themes from Pseudorandom binary sequence, Minification, Pseudorandom number generator, Closed-form expression and Frequency-hopping spread spectrum.
His most cited work include:
- The Z/sub 4/-linearity of Kerdock, Preparata, Goethals, and related codes (1174 citations)
- Optimal Exact-Regenerating Codes for Distributed Storage at the MSR and MBR Points via a Product-Matrix Construction (638 citations)
- Generalized bent functions and their properties (335 citations)
What are the main themes of his work throughout his whole career to date?
Pavan Kumar spends much of his time researching Discrete mathematics, Combinatorics, Upper and lower bounds, Linear code and Block code.
Pavan Kumar specializes in Discrete mathematics, namely Finite field.
The various areas that Pavan Kumar examines in his Combinatorics study include Hamming weight, Johnson bound, Correlation and Binary number.
His research in Linear code intersects with topics in Hamming code and Concatenated error correction code.
His biological study deals with issues like Turbo code, which deal with fields such as Serial concatenated convolutional codes.
He studies Block code, namely Group code.
He most often published in these fields:
- Discrete mathematics (35.94%)
- Combinatorics (32.03%)
- Upper and lower bounds (17.19%)
What were the highlights of his more recent work (between 2016-2021)?
- Cancer research (10.16%)
- Estrogen receptor (3.12%)
- FGF19 (2.34%)
In recent papers he was focusing on the following fields of study:
Cancer research, Estrogen receptor, FGF19, Fibroblast growth factor receptor 4 and Hepatocellular carcinoma are his primary areas of study.
His Cancer research research is multidisciplinary, relying on both Bladder cancer, Phase i study and RNA splicing, Spliceosome.
His RNA splicing research includes elements of Myeloid leukemia and Chronic myelomonocytic leukemia, Myelodysplastic syndromes.
His Spliceosome study is related to the wider topic of RNA.
His study on Fulvestrant is often connected to Covalent bond as part of broader study in Estrogen receptor.
Pavan Kumar has included themes like Mutation, Cancer cell and Intron in his Wild type study.
Between 2016 and 2021, his most popular works were:
- H3B-8800, an orally available small-molecule splicing modulator, induces lethality in spliceosome-mutant cancers. (194 citations)
- H3B-6527 Is a Potent and Selective Inhibitor of FGFR4 in FGF19-Driven Hepatocellular Carcinoma (51 citations)
- Evasion of immunosurveillance by genomic alterations of PPARγ/RXRα in bladder cancer. (49 citations)
In his most recent research, the most cited papers focused on:
- Algebra
- Telecommunications
- Real number
His primary areas of study are Cancer research, FGF19, Hepatocellular carcinoma, Fibroblast growth factor receptor 4 and Spliceosome.
His biological study spans a wide range of topics, including Estrogen receptor, Fulvestrant, Estrogen Receptor Antagonists, Breast cancer and Estrogen receptor alpha.
He integrates many fields in his works, including FGF19, Carcinoma, Palbociclib, Phase i study, Intrahepatic Cholangiocarcinoma and Tumor growth.
The study incorporates disciplines such as Mutation, Cancer cell and Mutant in addition to Spliceosome.
His studies deal with areas such as Carcinogenesis, Myeloid leukemia, Chronic myelomonocytic leukemia, Cell biology and Intron as well as RNA splicing.
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