Michael Schreiber

21 total papers · 739 total citations
12 papers, 223 citations indexed

About

Michael Schreiber is a scholar working on Pulmonary and Respiratory Medicine, Pediatrics, Perinatology and Child Health and Surgery. According to data from OpenAlex, Michael Schreiber has authored 12 papers receiving a total of 223 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pulmonary and Respiratory Medicine, 4 papers in Pediatrics, Perinatology and Child Health and 2 papers in Surgery. Recurrent topics in Michael Schreiber's work include Neonatal Respiratory Health Research (6 papers), Congenital Diaphragmatic Hernia Studies (2 papers) and Infant Development and Preterm Care (2 papers). Michael Schreiber is often cited by papers focused on Neonatal Respiratory Health Research (6 papers), Congenital Diaphragmatic Hernia Studies (2 papers) and Infant Development and Preterm Care (2 papers). Michael Schreiber collaborates with scholars based in United States, Germany and France. Michael Schreiber's co-authors include Paul A. Checchia, Ronald A. Bronicki, James D. Fortenberry, Nick Anas, Neil Marlow, Giovanni Vento, Martin Offringa, Roger F. Soll, Carlo Dani and Ulrich Thomé and has published in prestigious journals such as The Lancet, The Journal of Pediatrics and Nutrients.

In The Last Decade

Michael Schreiber

11 papers receiving 215 citations

Author Peers

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

Author						Papers	Cites
Michael Schreiber	176	69	45	41	34	12	223
Frank M. Shepard	227 1.3×	148 2.1×	34 0.8×	109 2.7×	15 0.4×	18	327
Melinda H. Markham	179 1.0×	47 0.7×	62 1.4×	23 0.6×	33 1.0×	9	264
John W Salyer	172 1.0×	57 0.8×	31 0.7×	19 0.5×	28 0.8×	13	300
Asha Puri	251 1.4×	137 2.0×	57 1.3×	87 2.1×	29 0.9×	12	315
Hazel Carlisle	102 0.6×	52 0.8×	52 1.2×	14 0.3×	9 0.3×	12	186
Cynthia M. Fitton	266 1.5×	130 1.9×	31 0.7×	10 0.2×	17 0.5×	8	312
Annalisa Porcella	120 0.7×	58 0.8×	134 3.0×	30 0.7×	18 0.5×	10	303
Carol A. Loucks	143 0.8×	31 0.4×	140 3.1×	28 0.7×	26 0.8×	7	287
Roberta Centorrino	273 1.6×	141 2.0×	25 0.6×	51 1.2×	13 0.4×	19	306
Donna Garey	232 1.3×	80 1.2×	117 2.6×	100 2.4×	60 1.8×	15	302

Countries citing papers authored by Michael Schreiber

Since Specialization

Citations

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

Fields of papers citing papers by Michael Schreiber

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Schreiber

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Schreiber. A scholar is included among the top collaborators of Michael Schreiber 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 Michael Schreiber. Michael Schreiber 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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