T. Gade

3.8k citations
80 papers · 2.1k indexed · 2 hit papers · h-index 21

Impact in

Papers in

T. Gade

76 papers receiving 2.1k citations

Hit Papers

Dietary fructose feeds hepatic lipogenesis via microbiota-derived acetate 2020 · 388 citations
3882014202620182022100200300400

Peers

T. Gade
Comparison fields: 5 of 128
  • Cancer Research 575
  • Hepatology 180
  • Oncology 403
  • Radiology, Nuclear Medicine and Imaging 335
  • Molecular Biology 820
Replace Giuseppe Perrone with:
Giuseppe Perrone Italy
Carolin Mogler Germany
Laurine Verset Belgium
Deborah Dillon United States
Michael Haas Germany
Raphaël Saffroy France
Claudio Belluco Italy
Takashi Kobayashi Japan
Galina Pizov Israel
T. Gade relative to Giuseppe Perrone Italy Giuseppe Perrone's profile →
Citations per field
00.5×1.5×2.5×
Giuseppe Perrone · 1×
Citations per year

Countries citing papers authored by T. Gade

Since Specialization
Citations

This map shows the geographic impact of T. Gade'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 T. Gade with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Gade more than expected).

Fields of papers citing papers by T. Gade

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Fructose-1,6-bisphosphatase opposes renal carcinoma progression
Hit paper breakdown →
2014404
2
Dietary fructose feeds hepatic lipogenesis via microbiota-derived acetate
Hit paper breakdown →
2020388
3 2020108
4 202097
5 200593
6 202078
7 202076
8 202269
9 201658
10 202054
11 201853
12 200253
13 202244
14 200344
15 201537
16 200837
17 201736
18 201530
19 201124
20 201822

About T. Gade

T. Gade is a scholar working on Hepatology, Radiology, Nuclear Medicine and Imaging, Cancer Research, Biophysics and Biotechnology, having authored 80 papers that have together received 2.1k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (17 papers), Cancer, Hypoxia, and Metabolism (12 papers), Advanced MRI Techniques and Applications (12 papers), Liver Disease Diagnosis and Treatment (8 papers), Advanced NMR Techniques and Applications (6 papers), Surgical Simulation and Training (6 papers), MRI in cancer diagnosis (5 papers) and Cancer Research and Treatments (5 papers). The work is most often cited by research in Cancer Research (575 citations), Hepatology (180 citations), Oncology (403 citations), Radiology, Nuclear Medicine and Imaging (335 citations) and Molecular Biology (820 citations). T. Gade has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Stephen J. Hunt, G. Nadolski, M. Celeste Simon, Joshua D. Ochocki, Itzhak Nissim, Anthony Mancuso, Zandra E. Walton, Bo Li, Lijoy K. Mathew and Bo Qiu. Their work appears in journals such as Journal of Vascular and Interventional Radiology, Clinical Cancer Research, Scientific Reports, Abdominal Radiology and Magnetic Resonance in Medicine.

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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