Gemma Mas Dalmau

11 total papers · 516 total citations
9 papers, 319 citations indexed

About

Gemma Mas Dalmau is a scholar working on Epidemiology, Economics and Econometrics and Applied Microbiology and Biotechnology. According to data from OpenAlex, Gemma Mas Dalmau has authored 9 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Epidemiology, 3 papers in Economics and Econometrics and 3 papers in Applied Microbiology and Biotechnology. Recurrent topics in Gemma Mas Dalmau's work include Health Systems, Economic Evaluations, Quality of Life (3 papers), Pneumonia and Respiratory Infections (3 papers) and Antibiotic Use and Resistance (3 papers). Gemma Mas Dalmau is often cited by papers focused on Health Systems, Economic Evaluations, Quality of Life (3 papers), Pneumonia and Respiratory Infections (3 papers) and Antibiotic Use and Resistance (3 papers). Gemma Mas Dalmau collaborates with scholars based in Spain, United Kingdom and Canada. Gemma Mas Dalmau's co-authors include Pablo Alonso‐Coello, Iván Solà, Anna Selva, Ángel Otero Puime, Amando Martín Zurro, Xavier Mundet Tudurí, Pablo Alonso Coello, Gordon Guyatt, Carl Llor and Mariam de la Poza Abad and has published in prestigious journals such as JAMA Internal Medicine, Canadian Medical Association Journal and BMC Medical Education.

In The Last Decade

Gemma Mas Dalmau

9 papers receiving 307 citations

Author Peers

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

Author						Papers	Cites
Gemma Mas Dalmau	94	82	58	56	49	9	319
Sharon Donnelly	78 0.8×	45 0.5×	96 1.7×	62 1.1×	24 0.5×	12	301
Mario M. Zeolla	89 0.9×	84 1.0×	17 0.3×	14 0.3×	102 2.1×	17	359
Janneke M. T. Hendriksen	35 0.4×	76 0.9×	11 0.2×	72 1.3×	35 0.7×	10	327
Glenda C. Wickstrom	87 0.9×	27 0.3×	6 0.1×	104 1.9×	111 2.3×	10	350
Ryan P. Hickson	59 0.6×	82 1.0×	24 0.4×	33 0.6×	32 0.7×	18	326
J M Hafner	75 0.8×	47 0.6×	7 0.1×	55 1.0×	25 0.5×	7	335
Parisa Gholami	80 0.9×	76 0.9×	7 0.1×	47 0.8×	39 0.8×	14	320
Norma J. Goodwin	32 0.3×	23 0.3×	8 0.1×	45 0.8×	89 1.8×	19	327
Judith Cole	86 0.9×	46 0.6×	6 0.1×	20 0.4×	91 1.9×	16	345
Doug Einstadter	122 1.3×	125 1.5×	5 0.1×	57 1.0×	46 0.9×	10	330

Countries citing papers authored by Gemma Mas Dalmau

Since Specialization

Citations

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

Fields of papers citing papers by Gemma Mas Dalmau

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gemma Mas Dalmau. 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 Gemma Mas Dalmau. The network helps show where Gemma Mas Dalmau may publish in the future.

Co-authorship network of co-authors of Gemma Mas Dalmau

This figure shows the co-authorship network connecting the top 25 collaborators of Gemma Mas Dalmau. A scholar is included among the top collaborators of Gemma Mas Dalmau 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 Gemma Mas Dalmau. Gemma Mas Dalmau 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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