Sergey V. Goodman

17 papers receiving 2.1k citations

Sergey V. Goodman's Hit Papers

Epidemiology of sepsis and infection in ICU patients from an international multicentre cohort study 2001 · 742 citations
7420+8+16Years since publication200400600

Peers

Sergey V. Goodman
Comparison fields: 5 of 69
  • Epidemiology 1.1k
  • Critical Care and Intensive Care Medicine 81
  • Anesthesiology and Pain Medicine 108
  • Applied Microbiology and Biotechnology 14
  • Endocrinology, Diabetes and Metabolism 92
Replace Riccardo Maviglia with:
Riccardo Maviglia Italy
Yizhak Y. Kupfer United States
Daniela Pasero Italy
Marc-André Dugas Canada
Sidney Tessler United States
Fabrice Cook France
Masashi Ueyama Japan
Annette M. Esper United States
Gourang P. Patel United States
Jinmin Peng China
Sergey V. Goodman relative to Riccardo Maviglia Italy Riccardo Maviglia's profile →
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Citations per year

Countries citing papers authored by Sergey V. Goodman

Since Specialization
Citations

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

Fields of papers citing papers by Sergey V. Goodman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sergey V. Goodman. 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 Sergey V. Goodman. The network helps show where Sergey V. Goodman may publish in the future.

Co-authors

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

All Works

18 of 18 papers shown
#Work
1
Epidemiology of sepsis and infection in ICU patients from an international multicentre cohort study
Hit paper breakdown →
2001742
2 2011347
3 2003213
4 2007193
5 2009174
6 2013174
7 2004146
8 201568
9 200337
10 200033
11 200921
12 201116
13 200215
14 200413
15 20016
16 20116
17 20111
18 19950

About Sergey V. Goodman

Sergey V. Goodman is a scholar working on Epidemiology, Endocrinology, Diabetes and Metabolism, Surgery, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 18 papers that have together received 2.2k indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (12 papers), Adrenal Hormones and Disorders (1 paper) and Cardiac and Coronary Surgery Techniques (1 paper). The work is most often cited by research in Epidemiology (1.1k citations), Critical Care and Intensive Care Medicine (81 citations), Anesthesiology and Pain Medicine (108 citations), Applied Microbiology and Biotechnology (14 citations) and Endocrinology, Diabetes and Metabolism (92 citations). Sergey V. Goodman has collaborated with scholars based in Israel, United States and France. Frequent co-authors include Charles L. Sprung, Rui Paulo Moreno, Christian Brun‐Buisson, Corinne Alberti, Jean Roger Le Gall, Antonio Artigas, Claudio M. Martin, Mark G. A. Palazzo, Ronan Boulmé and Alberto Sicignano. Their work appears in journals such as Critical Care Medicine, Intensive Care Medicine, American Journal of Respiratory and Critical Care Medicine, Seminars in Respiratory and Critical Care Medicine and Critical Care Clinics.

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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