Sadhana Agarwal

715 citations
6 papers · 579 indexed · h-index 5
Topics
Pluripotent Stem Cells Research (2 papers)Viral Infectious Diseases and Gene Expression in Insects (2 papers)Protein Kinase Regulation and GTPase Signaling (1 paper)
Partner nations
United States

In The Last Decade

Sadhana Agarwal

6 papers receiving 561 citations

Peers

Sadhana Agarwal
Comparison fields: 5 of 57
  • Molecular Biology 499
  • Hepatology 155
  • Surgery 152
  • Oncology 90
  • Biomedical Engineering 82
Replace Lisa van Voorthuijsen with:
Lisa van Voorthuijsen Netherlands
Kristen S. Hill United States
Junjie Qian China
Xinyuan Dong United States
Amitabha Chaudhuri India
V. Friand France
Mike Edward United Kingdom
Ravi Chakra Turaga United States
Satoshi Nemoto Japan
Colin D.H. Ratcliffe Canada
Sadhana Agarwal relative to Lisa van Voorthuijsen Netherlands Lisa van Voorthuijsen's profile →
Citations per field
00.5×3.6×
Lisa van Voorthuijsen · 1×
Citations per year

Countries citing papers authored by Sadhana Agarwal

Since Specialization
Citations

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

Fields of papers citing papers by Sadhana Agarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sadhana Agarwal

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

All Works

6 of 6 papers shown
#WorkIndexed citations
1 296
2 4
3 148
4
Reconstitution of signal transduction from the membrane to the nucleus in a baculovirus expression system: activation of Raf-1 leads to hypermodification of c-jun and c-fos via multiple pathways.
20
5 96
6
A direct role for c-fos in AP-1-dependent gene transcription.
15

About Sadhana Agarwal

Sadhana Agarwal is a scholar working on Hepatology, Molecular Biology and Organic Chemistry, having authored 6 papers that have together received 579 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers) and Protein Kinase Regulation and GTPase Signaling (1 paper). The work is most often cited by research in Hepatology (155 citations), Molecular Biology (499 citations) and Surgery (152 citations). Sadhana Agarwal has collaborated with scholars based in United States. Frequent co-authors include Katherine Holton, Robert Lanza, Thomas M. Roberts, Paolo Salomoni, Jennifer L. Best, Pier Paolo Pandolfi, Leonard I. Zon, Orian S. Shirihai, Nidhi Gupta Williams and Steven Pelech. Their work appears in journals such as Proceedings of the National Academy of Sciences, Molecular Cell and Methods in enzymology on CD-ROM/Methods in enzymology.

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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