J. Molina Collada

112 total papers · 850 total citations
44 papers, 244 citations indexed

About

J. Molina Collada is a scholar working on Rheumatology, Pulmonary and Respiratory Medicine and Immunology. According to data from OpenAlex, J. Molina Collada has authored 44 papers receiving a total of 244 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Rheumatology, 19 papers in Pulmonary and Respiratory Medicine and 9 papers in Immunology. Recurrent topics in J. Molina Collada's work include Vasculitis and related conditions (17 papers), Rheumatoid Arthritis Research and Therapies (11 papers) and Otitis Media and Relapsing Polychondritis (8 papers). J. Molina Collada is often cited by papers focused on Vasculitis and related conditions (17 papers), Rheumatoid Arthritis Research and Therapies (11 papers) and Otitis Media and Relapsing Polychondritis (8 papers). J. Molina Collada collaborates with scholars based in Spain, United States and Mexico. J. Molina Collada's co-authors include José María Álvaro‐Gracia, Isabel Castrejón, Julia Martínez‐Barrio, Javier Rivera, Fernando Montero, T.L González, Eugenio de Miguel, Juan Carlos Nieto‐González, I. Monjo and Elisa Fernández-Fernández and has published in prestigious journals such as Annals of the Rheumatic Diseases, Lara D. Veeken and Arthritis Research & Therapy.

In The Last Decade

J. Molina Collada

36 papers receiving 243 citations

Author Peers

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

Author						Papers	Cites
J. Molina Collada	112	86	75	45	29	44	244
M. Adnaoui	89 0.8×	74 0.9×	14 0.2×	31 0.7×	32 1.1×	48	275
A.S. Essoussi	49 0.4×	68 0.8×	36 0.5×	8 0.2×	24 0.8×	37	326
Nabil Belfeki	39 0.3×	43 0.5×	60 0.8×	55 1.2×	32 1.1×	49	213
Karina Rossi Bonfiglioli	167 1.5×	40 0.5×	78 1.0×	18 0.4×	58 2.0×	43	329
Pankti Mehta	114 1.0×	30 0.3×	88 1.2×	49 1.1×	25 0.9×	47	326
Harpreet Singh	122 1.1×	32 0.4×	27 0.4×	20 0.4×	33 1.1×	39	324
Shivanshu Singh	55 0.5×	78 0.9×	33 0.4×	19 0.4×	12 0.4×	32	289
S. Turki	80 0.7×	84 1.0×	21 0.3×	20 0.4×	33 1.1×	71	272
Kwang Chul Lee	32 0.3×	96 1.1×	25 0.3×	37 0.8×	28 1.0×	28	302
Arvind Nune	72 0.6×	26 0.3×	116 1.5×	90 2.0×	26 0.9×	43	327

Countries citing papers authored by J. Molina Collada

Since Specialization

Citations

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

Fields of papers citing papers by J. Molina Collada

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. Molina Collada. 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 J. Molina Collada. The network helps show where J. Molina Collada may publish in the future.

Co-authorship network of co-authors of J. Molina Collada

This figure shows the co-authorship network connecting the top 25 collaborators of J. Molina Collada. A scholar is included among the top collaborators of J. Molina Collada 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 J. Molina Collada. J. Molina Collada 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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