Pratima Kundu

2.4k total citations · 1 hit paper
8 papers, 1.9k citations indexed

About

Pratima Kundu is a scholar working on Molecular Biology, Biomedical Engineering and Surgery. According to data from OpenAlex, Pratima Kundu has authored 8 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Biomedical Engineering and 2 papers in Surgery. Recurrent topics in Pratima Kundu's work include Pluripotent Stem Cells Research (3 papers), Cancer Research and Treatments (2 papers) and Immunotherapy and Immune Responses (2 papers). Pratima Kundu is often cited by papers focused on Pluripotent Stem Cells Research (3 papers), Cancer Research and Treatments (2 papers) and Immunotherapy and Immune Responses (2 papers). Pratima Kundu collaborates with scholars based in United States and India. Pratima Kundu's co-authors include Melissa K. Carpenter, Chunhui Xu, Jerrod Denham, Joseph Gold, Margaret Inokuma, Yun Peng, Choy‐Pik Chiu, Lakshmi Rambhatla, Robert C. Robbins and Phillip C. Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nature Biotechnology and Magnetic Resonance in Medicine.

In The Last Decade

Pratima Kundu

8 papers receiving 1.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Feeder-free growth of undifferentiated human embryonic stem cells

2001 1.5k citations Chunhui Xu, Margaret Inokuma et al. Nature Biotechnology profile →

Peers

Pratima Kundu

MB

BE

SURGE

GENET

HEPAT

Yukimasa Taniguchi Japan

Jin Young Joo South Korea

Duncan Baker United Kingdom

Shunping Wang United States

Sunita L. D’Souza United States

Sarah N. Dowey United States

Kristin Schwanke Germany

Verónica Ramos–Mejía Spain

Eungi Yang United States

Mohammad Massumi Iran

Yukimasa Taniguchi Japan

Pratima Kundu

913 ×0.6

MB

299 ×0.4

BE

276 ×0.4

SURGE

151 ×0.8

GENET

64 ×0.4

HEPAT

Citations per year, relative to Pratima Kundu Pratima Kundu (= 1×) peers Yukimasa Taniguchi

Countries citing papers authored by Pratima Kundu

Since Specialization

Citations

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

Fields of papers citing papers by Pratima Kundu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pratima Kundu

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

All Works

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8 of 8 papers shown

1.

Hundt, Matthias, Peter F. Bove, Michelle Li, et al.. (2021). 774 An induced pluripotent stem cell (iPSC) vaccine is highly immunogenic and reduces lung metastases in a mouse model of melanoma. SHILAP Revista de lepidopterología. A809–A809. 1 indexed citations

2.

Hundt, Matthias, Michelle Li, Carlos A. Obejero‐Paz, et al.. (2021). 775 An induced pluripotent stem cell (iPSC) vaccine decreases tumor growth and improves survival in a therapeutic mouse model of colon cancer. SHILAP Revista de lepidopterología. A810–A810. 1 indexed citations

3.

Dahiya, Manjeet S., et al.. (2019). Compositional dependence of properties in calcium substituted sodium borophosphate glasses containing $${\hbox {VO}}^{2+}$$ VO 2 + ions. Bulletin of Materials Science. 42(3). 5 indexed citations

4.

Yamada, Mayumi, Paul T. Gurney, Jaehoon Chung, et al.. (2009). Manganese‐guided cellular MRI of human embryonic stem cell and human bone marrow stromal cell viability. Magnetic Resonance in Medicine. 62(4). 1047–1054. 20 indexed citations

5.

Yamada, Mayumi, Paul T. Gurney, Pratima Kundu, Robert C. Robbins, & Phillip C. Yang. (2008). 230 Manganese guided cellular MRI of human embryonic stem cell viability. Journal of Cardiovascular Magnetic Resonance. 10. A91–A91. 1 indexed citations

6.

Suzuki, Yoriyasu, et al.. (2007). In vitro comparison of the biological effects of three transfection methods for magnetically labeling mouse embryonic stem cells with ferumoxides. Magnetic Resonance in Medicine. 57(6). 1173–1179. 59 indexed citations

7.

Rambhatla, Lakshmi, Choy‐Pik Chiu, Pratima Kundu, Yun Peng, & Melissa K. Carpenter. (2003). Generation of Hepatocyte-Like Cells from Human Embryonic Stem Cells. Cell Transplantation. 12(1). 1–11. 323 indexed citations

8.

Xu, Chunhui, Margaret Inokuma, Jerrod Denham, et al.. (2001). Feeder-free growth of undifferentiated human embryonic stem cells. Nature Biotechnology. 19(10). 971–974. 1455 indexed citations breakdown →

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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