Mita Mukherjee

1.4k total citations · 1 hit paper
10 papers, 1.2k citations indexed

About

Mita Mukherjee is a scholar working on Cancer Research, Molecular Biology and Oncology. According to data from OpenAlex, Mita Mukherjee has authored 10 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cancer Research, 5 papers in Molecular Biology and 3 papers in Oncology. Recurrent topics in Mita Mukherjee's work include Cancer-related molecular mechanisms research (5 papers), Cell Adhesion Molecules Research (3 papers) and RNA and protein synthesis mechanisms (3 papers). Mita Mukherjee is often cited by papers focused on Cancer-related molecular mechanisms research (5 papers), Cell Adhesion Molecules Research (3 papers) and RNA and protein synthesis mechanisms (3 papers). Mita Mukherjee collaborates with scholars based in United States and Canada. Mita Mukherjee's co-authors include Yi Xu, Hyunsuk Shim, Linda A. Lee, Diane R. Wonsey, Qing Li, Chi V. Dang, Sunkyu Kim, Rahul Reddy, Linda Resar and Lisa J. Wood and has published in prestigious journals such as Journal of Biological Chemistry, Blood and Molecular and Cellular Biology.

In The Last Decade

Mita Mukherjee

9 papers receiving 1.2k citations

Hit Papers

Deregulation of Glucose Transporter 1 and Glycolytic Gene... 2000 2026 2008 2017 2000 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mita Mukherjee United States 7 971 690 226 104 68 10 1.2k
Shuang Han China 16 793 0.8× 589 0.9× 239 1.1× 70 0.7× 85 1.3× 21 1.1k
Aaron P. Jansen United States 8 1.1k 1.1× 413 0.6× 236 1.0× 131 1.3× 36 0.5× 9 1.3k
Zuguo Li China 17 930 1.0× 657 1.0× 227 1.0× 139 1.3× 138 2.0× 47 1.3k
Taisei Tsukada Japan 8 627 0.6× 425 0.6× 225 1.0× 84 0.8× 105 1.5× 19 971
Stefania Mejetta Spain 6 870 0.9× 765 1.1× 282 1.2× 122 1.2× 112 1.6× 7 1.3k
Songbing He China 20 736 0.8× 519 0.8× 194 0.9× 61 0.6× 112 1.6× 34 957
Sui-Sui Dong China 10 650 0.7× 366 0.5× 250 1.1× 125 1.2× 71 1.0× 10 936
Xiangfan Liu China 15 1.4k 1.4× 1.0k 1.5× 134 0.6× 121 1.2× 88 1.3× 23 1.7k
Huahong Xie China 22 812 0.8× 441 0.6× 249 1.1× 69 0.7× 120 1.8× 43 1.1k

Countries citing papers authored by Mita Mukherjee

Since Specialization
Citations

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

Fields of papers citing papers by Mita Mukherjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mita Mukherjee

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

All Works

10 of 10 papers shown
2.
Hillion, Jöelle, Lisa J. Wood, Mita Mukherjee, et al.. (2009). Upregulation of MMP-2 by HMGA1 Promotes Transformation in Undifferentiated, Large-Cell Lung Cancer. Molecular Cancer Research. 7(11). 1803–1812. 66 indexed citations
3.
Hillion, Jöelle, Surajit Dhara, Takita Felder Sumter, et al.. (2008). The High-Mobility Group A1a/Signal Transducer and Activator of Transcription-3 Axis: An Achilles Heel for Hematopoietic Malignancies?. Cancer Research. 68(24). 10121–10127. 87 indexed citations
4.
Cello, Francescopaolo Di, Jöelle Hillion, Alexandra C. Hristov, et al.. (2008). HMGA2 Participates in Transformation in Human Lung Cancer. Molecular Cancer Research. 6(5). 743–750. 112 indexed citations
5.
Resar, Linda, Jöelle Hillion, Surajit Dhara, et al.. (2008). The HMGA1a-STAT3 axis: an “Achilles Heel” for Hematopoietic Malignancies Overexpressing HMGA1a?. Blood. 112(11). 3810–3810. 1 indexed citations
6.
Resar, Linda, Surajit Dhara, Takita Felder Sumter, et al.. (2006). STAT3: A Direct HMGA1 Gene Target Important in Lymphoid Malignancy.. Blood. 108(11). 2222–2222.
7.
Dolde, Christine, Mita Mukherjee, Chung Y. Cho, & Linda Resar. (2002). HMG-I/Y in human breast cancer cell lines. Breast Cancer Research and Treatment. 71(3). 181–191. 56 indexed citations
8.
Wood, Lisa J., Mita Mukherjee, Christine Dolde, et al.. (2000). HMG-I/Y , a New c-Myc Target Gene and Potential Oncogene. Molecular and Cellular Biology. 20(15). 5490–5502. 156 indexed citations
9.
Shim, Hyunsuk, Sunkyu Kim, Qing Li, et al.. (2000). Deregulation of Glucose Transporter 1 and Glycolytic Gene Expression by c-Myc. Journal of Biological Chemistry. 275(29). 21797–21800. 702 indexed citations breakdown →
10.
Cruz‐Reyes, Jorge, Kenneth J. Piller, Laura N. Rusché, Mita Mukherjee, & Barbara Sollner-Webb. (1998). Unexpected Electrophoretic Migration of RNA with Different 3‘ Termini Causes a RNA Sizing Ambiguity That Can Be Resolved Using Nuclease P1-Generated Sequencing Ladders. Biochemistry. 37(17). 6059–6064. 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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