Pradip Saha

8.0k citations
76 papers · 5.5k indexed · 2 hit papers · h-index 36

Impact in

Papers in

Pradip Saha

74 papers receiving 5.4k citations

Hit Papers

Asprosin, a Fasting-Induced Glucogenic Protein Hormone 2016 · 382 citations
3822013202620172021250500750

Peers

Pradip Saha
Comparison fields: 5 of 133
  • Endocrine and Autonomic Systems 822
  • Biochemistry 631
  • Aging 133
  • Physiology 1.8k
  • Epidemiology 1.7k
Replace Hiroshi Sakaue with:
Hiroshi Sakaue Japan
Tomomi Gotoh Japan
Angela Woods United Kingdom
Neal N. Iwakoshi United States
Vishwajeet Puri United States
Seiichi Oyadomari Japan
Rajat Singh United States
Lawrence Chan United States
Hui‐Young Lee South Korea
Sam Virtue United Kingdom
Pradip Saha relative to Hiroshi Sakaue Japan Hiroshi Sakaue's profile →
Citations per field
00.5×3.3×
Hiroshi Sakaue · 1×
Citations per year

Countries citing papers authored by Pradip Saha

Since Specialization
Citations

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

Fields of papers citing papers by Pradip Saha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Pradip Saha, 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 Pradip Saha Line = papers co-authored together Pradip Saha links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20243
4 202210
5 202214
6 201811
7 201749
8 201729
9 201628
10
Asprosin, a Fasting-Induced Glucogenic Protein Hormone
Hit paper breakdown →
2016382
11
Prebiotics—Clinical relevance
20153
12 201545
13
TFEB controls cellular lipid metabolism through a starvation-induced autoregulatory loop
Hit paper breakdown →
2013779
14 2011156
15 201052
16 2009101
17 2008133
18 200491
19 2002247
20 199910

About Pradip Saha

Pradip Saha is a scholar working on Endocrine and Autonomic Systems, Endocrinology, Biochemistry, Physiology and Epidemiology, having authored 76 papers that have together received 5.5k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (29 papers), Adipokines, Inflammation, and Metabolic Diseases (12 papers), Lipid metabolism and biosynthesis (10 papers), Vibrio bacteria research studies (9 papers), Pancreatic function and diabetes (9 papers), Regulation of Appetite and Obesity (8 papers), Cholesterol and Lipid Metabolism (7 papers) and Escherichia coli research studies (6 papers). The work is most often cited by research in Endocrine and Autonomic Systems (822 citations), Biochemistry (631 citations), Aging (133 citations), Physiology (1.8k citations) and Epidemiology (1.7k citations). Pradip Saha has collaborated with scholars based in United States, India and Japan. Frequent co-authors include Lawrence Chan, Lawrence Chan, David D. Moore, Mikhail G. Kolonin, Renata Pasqualini, Wadih Arap, Yuxiang Sun, Benny Chang, Mark Asnicar and Roy G. Smith. Their work appears in journals such as Cell Metabolism, Diabetes, Nature Communications, Journal of Biological Chemistry and Scientific Reports.

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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