Roberto Towns

13.8k citations
29 papers · 11.0k · 3 hit papers · h-index 15

Impact in

  • Epidemiology top 0.2%
    • Autophagy in Disease and Therapy
  • Physiology top 0.2%
    • Calcium signaling and nucleotide metabolism

Papers in

Roberto Towns

29 papers receiving 10.8k citations

Roberto Towns's Hit Papers

Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition) 1 2021 · 2.0k citations
2.0k0+4+9Years since publication10002.0k3.0k4.0k

Peers

Roberto Towns
Comparison fields: 5 of 162
  • Epidemiology 6.7k
  • Physiology 846
  • Geriatrics and Gerontology 388
  • Cell Biology 1.6k
  • Aging 154
Replace Nikolai V. Gorbunov with:
Nikolai V. Gorbunov United States
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Citations per field
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Citations per year

Countries citing papers authored by Roberto Towns

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Towns

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition)
Hit paper breakdown →
20164660
2
Guidelines for the use and interpretation of assays for monitoring autophagy
Hit paper breakdown →
20123543
3
Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition) 1
Hit paper breakdown →
20212038
4 2010263
5 200178
6 199960
7 200560
8 200531
9 200526
10 199125
11 199124
12 199219
13 200819
14 200016
15 199415
16 199913
17 199011
18 200810
19 200510
20 20059

About Roberto Towns

Roberto Towns is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology, Epidemiology, Reproductive Medicine and Genetics, having authored 29 papers that have together received 11.0k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (9 papers), Growth Hormone and Insulin-like Growth Factors (5 papers), Pancreatic function and diabetes (4 papers), Adipose Tissue and Metabolism (4 papers), Estrogen and related hormone effects (3 papers), Metabolism, Diabetes, and Cancer (3 papers), RNA Interference and Gene Delivery (3 papers) and Diet and metabolism studies (3 papers). The work is most often cited by research in Epidemiology (6.7k citations), Physiology (846 citations), Geriatrics and Gerontology (388 citations), Cell Biology (1.6k citations) and Aging (154 citations). Roberto Towns has collaborated with scholars based in United States, Italy and Japan. Frequent co-authors include John W. Wiley, Massimo Pietropaolo, Claudio Daniel González, Hirotaka Watada, Myung‐Shik Lee, María I. Vaccaro, Piero Marchetti, P. Landis Keyes, Jack L. Kostyo and Jennifer M. Bowen. Their work appears in journals such as Autophagy, Endocrinology, Biology of Reproduction, Molecular and Cellular Endocrinology and Biochimica et Biophysica Acta (BBA) - Molecular Cell Research.

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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