Uttara Saran

1.4k citations
28 papers · 1.1k · h-index 16

Impact in

Papers in

    • Epigenetics and DNA Methylation 4
    • PI3K/AKT/mTOR signaling in cancer 4
    • Protein Degradation and Inhibitors 3
    • Metabolism, Diabetes, and Cancer 3
    • Angiogenesis and VEGF in Cancer 3
    • Heavy Metal Exposure and Toxicity 5

Uttara Saran

28 papers receiving 1.1k citations

Peers

Uttara Saran
Comparison fields: 5 of 110
  • Hepatology 129
  • Cancer Research 125
  • Epidemiology 286
  • Physiology 182
  • Molecular Biology 431
Replace Miriam Boersema with:
Miriam Boersema Netherlands
Yi He China
Marina Maggiora Italy
Yunshan Liu United States
Giuseppe Pizzolanti Italy
Seiji Kishi Japan
Yuan Guo China
Nelly Bosselut France
Antonella Carambia Germany
Yu‐Lueng Shih Taiwan
Uttara Saran relative to Miriam Boersema Netherlands Miriam Boersema's profile →
Citations per field
00.5×1.5×2.0×
Miriam Boersema · 1×
Citations per year

Countries citing papers authored by Uttara Saran

Since Specialization
Citations

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

Fields of papers citing papers by Uttara Saran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Uttara Saran, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Uttara Saran Line = papers co-authored together Uttara Saran links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014301
2 2015130
3 201599
4 201587
5 201579
6 201248
7 201247
8 202033
9 201432
10 201830
11 201328
12 201327
13 201426
14 201322
15 201319
16 201319
17 201712
18 202211
19 202310
20 201710

About Uttara Saran

Uttara Saran is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis, Pulmonary and Respiratory Medicine, Epidemiology and Physiology, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include Heavy Metal Exposure and Toxicity (5 papers), Epigenetics and DNA Methylation (4 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Protein Degradation and Inhibitors (3 papers), Metabolism, Diabetes, and Cancer (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Angiogenesis and VEGF in Cancer (3 papers) and Nitric Oxide and Endothelin Effects (3 papers). The work is most often cited by research in Hepatology (129 citations), Cancer Research (125 citations), Epidemiology (286 citations), Physiology (182 citations) and Molecular Biology (431 citations). Uttara Saran has collaborated with scholars based in India, United States and Switzerland. Frequent co-authors include Suvro Chatterjee, Jean‐François Dufour, Sara Gemini‐Piperni, Annalisa Berzigotti, Michelangelo Foti, Bostjan Humar, Philippe Kolly, Cédric Simillion, Arun Dharmarajan and Luigi Terracciano. Their work appears in journals such as Journal of Hepatology, Nitric Oxide, Clinical Science, Toxicology and Applied Pharmacology and Frontiers in Pharmacology.

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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