Roberto Sala

66 papers receiving 2.8k citations

Roberto Sala's Hit Papers

Heart rate variability as an index of sympathovagal interaction after acute myocardial infarction 1987 · 525 citations
5250+13+26Years since publication100200300400500

Peers

Roberto Sala
Comparison fields: 5 of 129
  • Biochemistry 344
  • Hematology 395
  • Clinical Biochemistry 235
  • Cardiology and Cardiovascular Medicine 681
  • Oncology 509
Replace Karen Y. Stokes with:
Karen Y. Stokes United States
Shoji Kagami Japan
Tripathi B. Rajavashisth United States
Ji Li United States
Paolo Mené Italy
Thomas C. Wascher Austria
Marshall A. Corson United States
Karen E. Porter United Kingdom
Kyosuke Takeshita Japan
Kenichiro Kitamura Japan
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Citations per field
00.5×3.9×
Karen Y. Stokes · 1×
Citations per year

Countries citing papers authored by Roberto Sala

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Sala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Heart rate variability as an index of sympathovagal interaction after acute myocardial infarction
Hit paper breakdown →
1987525
2 1990336
3 2005248
4 2002200
5 200898
6 200392
7 201085
8 200781
9 200174
10 200670
11 201264
12 199957
13 200254
14 199754
15 200048
16 201547
17 199338
18 201534
19 200434
20 201734

About Roberto Sala

Roberto Sala is a scholar working on Molecular Biology, Biochemistry, Cardiology and Cardiovascular Medicine, Clinical Biochemistry and Oncology, having authored 67 papers that have together received 2.9k indexed citations. Recurring topics across this work include Amino Acid Enzymes and Metabolism (16 papers), Metabolism and Genetic Disorders (11 papers), Heart Rate Variability and Autonomic Control (8 papers), Bone health and treatments (6 papers), Nitric Oxide and Endothelin Effects (4 papers), Multiple Myeloma Research and Treatments (4 papers), Receptor Mechanisms and Signaling (3 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Biochemistry (344 citations), Hematology (395 citations), Clinical Biochemistry (235 citations), Cardiology and Cardiovascular Medicine (681 citations) and Oncology (509 citations). Roberto Sala has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Ovidio Bussolati, Valeria Dall’Asta, Gian C. Gazzola, Enrico Cagliero, Mara Lorenzi, Sumon Roy, Massimo Pagani, Sabrina Bonomini, M Garimoldi and Alberto Malliani. Their work appears in journals such as American Journal of Physiology-Cell Physiology, Blood, Biochimica et Biophysica Acta (BBA) - Biomembranes, FEBS Letters and International Journal of Molecular Sciences.

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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