Lopa Mishra

16.6k total citations · 2 hit papers
169 papers, 7.8k citations indexed

About

Lopa Mishra is a scholar working on Molecular Biology, Oncology and Hepatology. According to data from OpenAlex, Lopa Mishra has authored 169 papers receiving a total of 7.8k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Molecular Biology, 51 papers in Oncology and 31 papers in Hepatology. Recurrent topics in Lopa Mishra's work include TGF-β signaling in diseases (36 papers), Liver physiology and pathology (23 papers) and Cancer Cells and Metastasis (20 papers). Lopa Mishra is often cited by papers focused on TGF-β signaling in diseases (36 papers), Liver physiology and pathology (23 papers) and Cancer Cells and Metastasis (20 papers). Lopa Mishra collaborates with scholars based in United States, India and China. Lopa Mishra's co-authors include Shulin Li, Chu‐Xia Deng, Abhisek Mitra, Bibhuti Mishra, Kirti Shetty, Ming Zhao, Yi Tang, Lynt B. Johnson, Wilma Jogunoori and Varalakshmi Katuri and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Lopa Mishra

168 papers receiving 7.6k citations

Hit Papers

The role of TGF-β/SMAD4 signaling in cancer 2015 2026 2018 2022 2018 2015 100 200 300 400

Peers

Lopa Mishra
Comparison fields: 5 of 149
  • Molecular Biology 3.8k
  • Oncology 2.7k
  • Cancer Research 1.5k
  • Surgery 1.4k
  • Hepatology 1.1k
Replace Hiroaki Kataoka with:
Hiroaki Kataoka Japan
Fumio Itoh Japan
Tetsuji Takayama Japan
Yusuke Nakamura Japan
Yoichi Furukawa Japan
Yoshiro Niitsu Japan
Thomas Longerich Germany
Won Sang Park South Korea
Pieter Demetter Belgium
Ralph Schwall United States
Hiroaki Kataoka Japan View profile →
Citations per field, relative to Lopa Mishra
Lopa Mishra · 1×
Citations per year, relative to Lopa Mishra
Lopa Mishra · 1×

Countries citing papers authored by Lopa Mishra

Since Specialization
Citations

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

Fields of papers citing papers by Lopa Mishra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lopa Mishra

This figure shows the co-authorship network connecting the top 25 collaborators of Lopa Mishra. A scholar is included among the top collaborators of Lopa Mishra 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 Lopa Mishra. Lopa Mishra 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
# Work Indexed citations
1 1
2 2
3 1
4 21
5 20
6 1
7 1
8 16
9 1
10 28
11 49
12 57
13 77
14 40
15 243
16
CDK4 is an important target for hepatocellular cancer with inactivation of TGF-beta signaling through Smad and ELF
2
17 74
18 211
19 21
20 51

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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