M. S. Niederman

27 total papers · 861 total citations
13 papers, 533 citations indexed

About

M. S. Niederman is a scholar working on Epidemiology, Critical Care and Intensive Care Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, M. S. Niederman has authored 13 papers receiving a total of 533 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Epidemiology, 7 papers in Critical Care and Intensive Care Medicine and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in M. S. Niederman's work include Pneumonia and Respiratory Infections (9 papers), Nosocomial Infections in ICU (7 papers) and Respiratory viral infections research (4 papers). M. S. Niederman is often cited by papers focused on Pneumonia and Respiratory Infections (9 papers), Nosocomial Infections in ICU (7 papers) and Respiratory viral infections research (4 papers). M. S. Niederman collaborates with scholars based in United States, Saudi Arabia and Spain. M. S. Niederman's co-authors include W. R. Summer, Antoní Torres, Fernando Ríos, Montserrat Rué, Carlos M. Luna, Sebastián Gando, Damian A. Violi, Patricia Aruj, Antonio Artigas and Jordi Vallès and has published in prestigious journals such as American Journal of Respiratory and Critical Care Medicine, Clinical Infectious Diseases and European Respiratory Journal.

In The Last Decade

M. S. Niederman

12 papers receiving 507 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
M. S. Niederman	403	332	185	130	70	13	533
Loreto Vidaur	346 0.9×	381 1.1×	144 0.8×	87 0.7×	102 1.5×	16	555
Paul Dennesen	277 0.7×	218 0.7×	109 0.6×	74 0.6×	77 1.1×	18	525
Jordi Vallès	332 0.8×	305 0.9×	97 0.5×	98 0.8×	91 1.3×	8	577
J. Solé-Violán	340 0.8×	344 1.0×	158 0.9×	58 0.4×	40 0.6×	10	483
Rafael Sierra	253 0.6×	271 0.8×	118 0.6×	45 0.3×	57 0.8×	14	565
Robert E. Siegel	188 0.5×	238 0.7×	111 0.6×	60 0.5×	64 0.9×	9	538
Marta Di Pasquale	202 0.5×	282 0.8×	122 0.7×	78 0.6×	55 0.8×	20	458
Jean-Yves Fagon	208 0.5×	224 0.7×	191 1.0×	103 0.8×	41 0.6×	15	615
Carole Van Antwerpen	291 0.7×	222 0.7×	123 0.7×	47 0.4×	34 0.5×	12	524
J Charrel	467 1.2×	362 1.1×	291 1.6×	66 0.5×	41 0.6×	25	592

Countries citing papers authored by M. S. Niederman

Since Specialization

Citations

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

Fields of papers citing papers by M. S. Niederman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. S. Niederman. 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 M. S. Niederman. The network helps show where M. S. Niederman may publish in the future.

Co-authorship network of co-authors of M. S. Niederman

This figure shows the co-authorship network connecting the top 25 collaborators of M. S. Niederman. A scholar is included among the top collaborators of M. S. Niederman 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 M. S. Niederman. M. S. Niederman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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