Charles Natanson

17.6k total citations · 2 hit papers
173 papers, 10.0k citations indexed

About

Charles Natanson is a scholar working on Epidemiology, Immunology and Surgery. According to data from OpenAlex, Charles Natanson has authored 173 papers receiving a total of 10.0k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Epidemiology, 38 papers in Immunology and 28 papers in Surgery. Recurrent topics in Charles Natanson's work include Sepsis Diagnosis and Treatment (82 papers), Immune Response and Inflammation (37 papers) and Blood transfusion and management (19 papers). Charles Natanson is often cited by papers focused on Sepsis Diagnosis and Treatment (82 papers), Immune Response and Inflammation (37 papers) and Blood transfusion and management (19 papers). Charles Natanson collaborates with scholars based in United States, Germany and Israel. Charles Natanson's co-authors include Peter Q. Eichacker, Joseph E. Parrillo, Robert L. Danner, Steven M. Banks, Margaret M. Parker, Bradley D. Freeman, James H. Shelhamer, Robert E. Cunnion, Xizhong Cui and Junfeng Sun and has published in prestigious journals such as New England Journal of Medicine, JAMA and Circulation.

In The Last Decade

Charles Natanson

172 papers receiving 9.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Septic Shock in Humans

1990 926 citations Joseph E. Parrillo, Charles Natanson et al. profile →
A circulating myocardial depressant substance in humans with septic shock. Septic shock patients with a reduced ejection fraction have a circulating factor that depresses in vitro myocardial cell performance.

1985 428 citations Joseph E. Parrillo, Charles Natanson et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Charles Natanson United States	47	4.4k	2.2k	1.8k	1.4k	1.4k	173	10.0k
Robert L. Danner United States	52	4.3k 1.0×	2.9k 1.4×	1.5k 0.8×	1.2k 0.9×	1.5k 1.1×	193	12.2k
Philip A. Efron United States	47	2.9k 0.7×	2.7k 1.2×	1.7k 1.0×	1.2k 0.8×	1.5k 1.0×	278	8.7k
Charles J. Fisher United States	32	6.7k 1.5×	3.3k 1.5×	2.6k 1.5×	2.4k 1.7×	1.9k 1.3×	74	13.1k
Anthony F. Suffredini United States	50	3.2k 0.7×	1.9k 0.9×	825 0.5×	1.4k 0.9×	1.1k 0.8×	134	9.3k
Ivor S. Douglas United States	58	2.8k 0.6×	1.2k 0.5×	1.9k 1.1×	3.3k 2.2×	1.5k 1.0×	194	11.8k
Margaret M. Parker United States	33	7.4k 1.7×	1.5k 0.7×	3.0k 1.7×	2.3k 1.6×	2.9k 2.0×	104	12.7k
Hector R. Wong United States	64	4.5k 1.0×	3.1k 1.4×	1.2k 0.7×	1.7k 1.1×	1.3k 0.9×	306	13.0k
Frank M. Brunkhorst Germany	51	5.7k 1.3×	1.2k 0.5×	2.8k 1.6×	1.4k 0.9×	1.7k 1.2×	183	10.1k
Christophe Adrie France	57	3.0k 0.7×	1.1k 0.5×	2.2k 1.2×	1.8k 1.2×	1.0k 0.7×	112	9.0k
Jean-François Dhainaut France	38	5.6k 1.3×	1.5k 0.7×	2.4k 1.3×	2.0k 1.4×	1.8k 1.2×	77	10.8k

Countries citing papers authored by Charles Natanson

Since Specialization

Citations

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

Fields of papers citing papers by Charles Natanson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charles Natanson

This figure shows the co-authorship network connecting the top 25 collaborators of Charles Natanson. A scholar is included among the top collaborators of Charles Natanson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Charles Natanson. Charles Natanson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Solomon, Steven B., Harvey G. Klein, Juan J.L. Lertora, et al.. (2024). In a Canine Model of Septic Shock, Cardiomyopathy Occurs Independent of Catecholamine Surges and Cardiac Microvascular Ischemia. Journal of the American Heart Association. 13(15). e034027–e034027. 1 indexed citations

Solomon, Steven B., Stanislav Sidenko, Jing Feng, et al.. (2024). Cardiac Magnetic Resonance Studies in a Large Animal Model That Simulates the Cardiac Abnormalities of Human Septic Shock. Journal of the American Heart Association. 13(15). e034026–e034026. 2 indexed citations

Natanson, Charles, et al.. (2024). Hemoglobin-based transfusion strategies for cardiovascular and other diseases: restrictive, liberal, or neither?. Blood. 144(20). 2075–2082. 6 indexed citations

Cortés‐Puch, Irene, Brandon M. Wiley, Junfeng Sun, et al.. (2018). Risks of restrictive red blood cell transfusion strategies in patients with cardiovascular disease (CVD): a meta‐analysis. Transfusion Medicine. 28(5). 335–345. 21 indexed citations

Prasad, Paritosh, Junfeng Sun, Robert L. Danner, & Charles Natanson. (2012). Excess Deaths Associated With Tigecycline After Approval Based on Noninferiority Trials. Clinical Infectious Diseases. 54(12). 1699–1709. 225 indexed citations

Minneci, Peter C., Peter Q. Eichacker, Robert L. Danner, et al.. (2008). The importance of usual care control groups for safety monitoring and validity during critical care research. Intensive Care Medicine. 34(5). 942–947. 11 indexed citations

Kalil, André C., Jonathan Sevransky, Daniela E. Myers, et al.. (2006). Preclinical trial of l-arginine monotherapy alone or with N-acetylcysteine in septic shock*. Critical Care Medicine. 34(11). 2719–2728. 39 indexed citations

Deans, Katherine J., Michael Haley, Charles Natanson, Peter Q. Eichacker, & Peter C. Minneci. (2005). Novel Therapies for Sepsis: A Review. The Journal of Trauma: Injury, Infection, and Critical Care. 58(4). 867–874. 88 indexed citations

Haley, Michael, Xizhong Cui, Peter C. Minneci, et al.. (2004). Activated protein C in sepsis: emerging insights regarding its mechanism of action and clinical effectiveness. Current Opinion in Infectious Diseases. 17(3). 205–211. 20 indexed citations

10.

Cui, Xizhong, Fabrice Zéni, Rosaly Correa‐de‐Araujo, et al.. (2003). TGF-β1 increases microbial clearance but worsens lung injury during Escherichia coli pneumonia in rats. Cytokine. 24(4). 115–127. 16 indexed citations

11.

Eichacker, Peter Q., Chantal Parent, André C. Kalil, et al.. (2002). Risk and the Efficacy of Antiinflammatory Agents: Retrospective and Confirmatory Studies of Sepsis. American Journal of Respiratory and Critical Care Medicine. 166(9). 1197–1205. 250 indexed citations

12.

Freeman, Bradley D., Robert L. Danner, Steven M. Banks, & Charles Natanson. (2001). Safeguarding Patients in Clinical Trials with High Mortality Rates. American Journal of Respiratory and Critical Care Medicine. 164(2). 190–192. 51 indexed citations

13.

Freeman, Bradley D. & Charles Natanson. (2000). Anti-inflammatory therapies in sepsis and septic shock. Expert Opinion on Investigational Drugs. 9(7). 1651–1663. 112 indexed citations

14.

Karzai, Waheedullah, B U von Specht, Chantal Parent, et al.. (1999). G-CSF during Escherichia coli versus Staphylococcus aureus Pneumonia in Rats Has Fundamentally Different and Opposite Effects. American Journal of Respiratory and Critical Care Medicine. 159(5). 1377–1382. 55 indexed citations

15.

Quezado, Zenaide, Waheedullah Karzai, Robert L. Danner, et al.. (1998). Effects of l -NMMA and Fluid Loading on TNF-induced Cardiovascular Dysfunction in Dogs. American Journal of Respiratory and Critical Care Medicine. 157(5). 1397–1405. 9 indexed citations

16.

Eichacker, Peter Q., et al.. (1996). Serial Measures of Total Body Oxygen Consumption in an Awake Canine Model of Septic Shock. American Journal of Respiratory and Critical Care Medicine. 154(1). 68–75. 10 indexed citations

17.

Quezado, Zenaide, William D. Hoffman, J A Winkelstein, et al.. (1994). The third component of complement protects against Escherichia coli endotoxin-induced shock and multiple organ failure.. The Journal of Experimental Medicine. 179(2). 569–578. 50 indexed citations

18.

Natanson, Charles, William D. Hoffman, Steven M. Banks, et al.. (1993). Plasma exchange does not improve survival in a canine model of human septic shock. Transfusion. 33(3). 243–248. 41 indexed citations

19.

Cobb, Justin, Charles Natanson, William D. Hoffman, et al.. (1992). N omega-amino-L-arginine, an inhibitor of nitric oxide synthase, raises vascular resistance but increases mortality rates in awake canines challenged with endotoxin.. The Journal of Experimental Medicine. 176(4). 1175–1182. 192 indexed citations

20.

Natanson, Charles, P. W. Eichenholz, Robert L. Danner, et al.. (1989). Endotoxin and tumor necrosis factor challenges in dogs simulate the cardiovascular profile of human septic shock.. The Journal of Experimental Medicine. 169(3). 823–832. 440 indexed citations

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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