Sergey Goodman

10 papers receiving 1.5k citations

Sergey Goodman's Hit Papers

Epidemiology of sepsis and infection in ICU patients from an international multicentre cohort study 2001 · 720 citations
7200+8+16Years since publication200400600

Peers

Sergey Goodman
Comparison fields: 5 of 92
  • Critical Care and Intensive Care Medicine 327
  • Applied Microbiology and Biotechnology 50
  • Epidemiology 801
  • Family Practice 25
  • Nephrology 93
Replace R. Philip Dellinger with:
R. Philip Dellinger United States
Mark Palazzo United Kingdom
Aurélie Cravoisy France
S.L. Zanotti-Cavazzoni United States
Peter M. C. Klein Klouwenberg Netherlands
Michael Oppert Germany
Damien Barraud France
Michele Costigan United States
Alain Tenaillon France
Eliézer Silva Brazil
Sergey Goodman relative to R. Philip Dellinger United States R. Philip Dellinger's profile →
Citations per field
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R. Philip Dellinger · 1×
Citations per year

Countries citing papers authored by Sergey Goodman

Since Specialization
Citations

This map shows the geographic impact of Sergey 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 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 Goodman more than expected).

Fields of papers citing papers by Sergey Goodman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1
Epidemiology of sepsis and infection in ICU patients from an international multicentre cohort study
Hit paper breakdown →
2001720
2 2003205
3 2007185
4 2013164
5 2004143
6 201566
7 200338
8 200037
9 200215
10 20017
11 19950

About Sergey Goodman

Sergey Goodman is a scholar working on Epidemiology, Critical Care and Intensive Care Medicine, Endocrinology, Diabetes and Metabolism, Surgery and Pulmonary and Respiratory Medicine, having authored 11 papers that have together received 1.6k indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (6 papers), Adrenal Hormones and Disorders (3 papers), Nosocomial Infections in ICU (2 papers), Thermal Regulation in Medicine (1 paper), Pituitary Gland Disorders and Treatments (1 paper), Respiratory Support and Mechanisms (1 paper), Intensive Care Unit Cognitive Disorders (1 paper) and Cardiac and Coronary Surgery Techniques (1 paper). The work is most often cited by research in Critical Care and Intensive Care Medicine (327 citations), Applied Microbiology and Biotechnology (50 citations), Epidemiology (801 citations), Family Practice (25 citations) and Nephrology (93 citations). Sergey Goodman has collaborated with scholars based in Israel, France and United States. Frequent co-authors include Rui P. Moreno, Corinne Alberti, Christian Brun‐Buisson, Antonio Artigas, Claudio M. Martin, Mark Palazzo, Éric Lepage, H. Burchardi, Jean Le Gall and Ronan Boulmé. Their work appears in journals such as American Journal of Respiratory and Critical Care Medicine, Critical Care Medicine, Journal of Cardiothoracic and Vascular Anesthesia, Critical Care and CHEST Journal.

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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