Rajkumar P. Thummer

965 total citations
52 papers, 616 citations indexed

About

Rajkumar P. Thummer is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Rajkumar P. Thummer has authored 52 papers receiving a total of 616 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 10 papers in Surgery and 7 papers in Genetics. Recurrent topics in Rajkumar P. Thummer's work include Pluripotent Stem Cells Research (27 papers), CRISPR and Genetic Engineering (26 papers) and Tissue Engineering and Regenerative Medicine (5 papers). Rajkumar P. Thummer is often cited by papers focused on Pluripotent Stem Cells Research (27 papers), CRISPR and Genetic Engineering (26 papers) and Tissue Engineering and Regenerative Medicine (5 papers). Rajkumar P. Thummer collaborates with scholars based in India, Germany and Netherlands. Rajkumar P. Thummer's co-authors include Chandrima Dey, Bart J. L. Eggen, Frank Edenhofer, Susanne M. Kooistra, Sachin Kumar, Sudhagar Selvaraju, Krishna P. Bhabak, Nibedita Lenka, Marc Thier and Ranadeep Gogoi and has published in prestigious journals such as Development, Chemical Communications and Scientific Reports.

In The Last Decade

Rajkumar P. Thummer

46 papers receiving 604 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rajkumar P. Thummer India 14 490 104 80 67 52 52 616
Yukihiko Kubota Japan 14 355 0.7× 59 0.6× 80 1.0× 27 0.4× 49 0.9× 46 641
Jane Owens United States 15 382 0.8× 38 0.4× 43 0.5× 41 0.6× 100 1.9× 26 583
Thibault Coursindel France 10 639 1.3× 45 0.4× 91 1.1× 39 0.6× 48 0.9× 16 691
Yizheng Yao China 12 310 0.6× 47 0.5× 89 1.1× 39 0.6× 13 0.3× 21 499
Yanfeng Li China 15 694 1.4× 35 0.3× 66 0.8× 24 0.4× 24 0.5× 43 948
Natalia Ermolova United States 14 681 1.4× 66 0.6× 166 2.1× 32 0.5× 70 1.3× 19 820
Bradley D. Charette United States 5 379 0.8× 57 0.5× 37 0.5× 84 1.3× 46 0.9× 7 446
Anastasia A. Malakhova Russia 11 263 0.5× 33 0.3× 43 0.5× 20 0.3× 31 0.6× 48 355
Peiyuan Chai China 9 374 0.8× 37 0.4× 78 1.0× 69 1.0× 42 0.8× 12 735
Liz O’Donovan United Kingdom 12 580 1.2× 32 0.3× 88 1.1× 40 0.6× 34 0.7× 16 690

Countries citing papers authored by Rajkumar P. Thummer

Since Specialization
Citations

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

Fields of papers citing papers by Rajkumar P. Thummer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rajkumar P. Thummer. 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 Rajkumar P. Thummer. The network helps show where Rajkumar P. Thummer may publish in the future.

Co-authorship network of co-authors of Rajkumar P. Thummer

This figure shows the co-authorship network connecting the top 25 collaborators of Rajkumar P. Thummer. A scholar is included among the top collaborators of Rajkumar P. Thummer 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 Rajkumar P. Thummer. Rajkumar P. Thummer 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
1.
Singh, Harsh Vikram, et al.. (2025). Lateral shearing common-path digital holographic microscopy with iterative reconstruction. Applied Optics. 64(22). 6285–6285.
2.
Thummer, Rajkumar P., et al.. (2024). Esterase‐Responsive Self‐Immolative Prodrugs for the Sustained Delivery of the Anticancer Drug 5‐Fluorouracil with Turn‐On Fluorescence. Chemistry - An Asian Journal. 20(2). e202400846–e202400846.
3.
4.
Bhuyan, M. K., et al.. (2024). Cumulative learning based segmentation aided cell mixtures classification in digital holographic microscopy. Optics & Laser Technology. 181. 112029–112029. 1 indexed citations
5.
Dey, Chandrima, et al.. (2023). An Insight into the Role of GLIS1 in Embryonic Development, iPSC Generation, and Cancer. Advances in experimental medicine and biology. 1470. 97–113. 1 indexed citations
6.
Thummer, Rajkumar P., et al.. (2023). Dimensionality reduction technique based phase aberration compensation and spurious fringe removal in off-axis digital holographic microscopy. Optics and Lasers in Engineering. 172. 107853–107853. 1 indexed citations
7.
8.
Thummer, Rajkumar P., et al.. (2022). Direct Reprogramming of Somatic Cells into Induced β-Cells: An Overview. Advances in experimental medicine and biology. 1410. 171–189. 2 indexed citations
9.
Joshi, Neha, et al.. (2022). Generation of a recombinant version of a biologically active cell-permeant human HAND2 transcription factor from E. coli. Scientific Reports. 12(1). 16129–16129. 2 indexed citations
10.
Selvaraju, Sudhagar, et al.. (2021). Tissue-Restricted Stem Cells as Starting Cell Source for Efficient Generation of Pluripotent Stem Cells: An Overview. Advances in experimental medicine and biology. 1376. 151–180. 9 indexed citations
11.
Dey, Chandrima, et al.. (2021). Identification of Optimal Expression Parameters and Purification of a Codon-Optimized Human GLIS1 Transcription Factor from Escherichia coli. Molecular Biotechnology. 64(1). 42–56. 3 indexed citations
12.
Thummer, Rajkumar P., et al.. (2021). Generation of cell-permeant recombinant human transcription factor GATA4 from E. coli. Bioprocess and Biosystems Engineering. 44(6). 1131–1146. 9 indexed citations
13.
Gogoi, Ranadeep, et al.. (2021). Recent Advances in the Generation of β-Cells from Induced Pluripotent Stem Cells as a Potential Cure for Diabetes Mellitus. Advances in experimental medicine and biology. 1347. 1–27. 14 indexed citations
14.
Thummer, Rajkumar P., et al.. (2020). Codon Optimization, Cloning, Expression, Purification, and Secondary Structure Determination of Human ETS2 Transcription Factor. Molecular Biotechnology. 62(10). 485–494. 19 indexed citations
15.
Gogoi, Ranadeep, et al.. (2020). Soluble expression, purification, and secondary structure determination of human PDX1 transcription factor. Protein Expression and Purification. 180. 105807–105807. 9 indexed citations
16.
Dey, Chandrima, et al.. (2018). An insight into non-integrative gene delivery approaches to generate transgene-free induced pluripotent stem cells. Gene. 686. 146–159. 77 indexed citations
17.
Kumar, Himanshu, et al.. (2018). Prospective applications of induced pluripotent stem cells in military medicine. Medical Journal Armed Forces India. 74(4). 313–320. 6 indexed citations
18.
Peitz, Michael, et al.. (2014). Cell-permeant recombinant Nanog protein promotes pluripotency by inhibiting endodermal specification. Stem Cell Research. 12(3). 680–689. 18 indexed citations
19.
Thummer, Rajkumar P., et al.. (2010). Functional Characterization of Single-Nucleotide Polymorphisms in the Human Undifferentiated Embryonic-Cell Transcription Factor 1 Gene. DNA and Cell Biology. 29(5). 241–248. 4 indexed citations
20.
Kooistra, Susanne M., Rajkumar P. Thummer, & Bart J. L. Eggen. (2009). Characterization of human UTF1, a chromatin-associated protein with repressor activity expressed in pluripotent cells. Stem Cell Research. 2(3). 211–218. 30 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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