Mauricio Chalita

1.1k total citations · 2 hit papers
14 papers, 647 citations indexed

About

Mauricio Chalita is a scholar working on Molecular Biology, Oncology and Ecology. According to data from OpenAlex, Mauricio Chalita has authored 14 papers receiving a total of 647 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Oncology and 3 papers in Ecology. Recurrent topics in Mauricio Chalita's work include Gut microbiota and health (5 papers), Genomics and Phylogenetic Studies (4 papers) and Microbial Community Ecology and Physiology (3 papers). Mauricio Chalita is often cited by papers focused on Gut microbiota and health (5 papers), Genomics and Phylogenetic Studies (4 papers) and Microbial Community Ecology and Physiology (3 papers). Mauricio Chalita collaborates with scholars based in South Korea, China and Puerto Rico. Mauricio Chalita's co-authors include Jongsik Chun, Sung Min Ha, Seok-Hwan Yoon, Imchang Lee, Hyun‐Seok Oh, Kihyun Lee, Yeonjae Jung, Jae Hyoung Cho, Jun-Won Yang and Woorim Kang and has published in prestigious journals such as Blood, Neurobiology of Disease and INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY.

In The Last Decade

Mauricio Chalita

13 papers receiving 644 citations

Hit Papers

2 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.

ContEst16S: an algorithm that identifies contaminated prokaryotic genomes using 16S RNA gene sequences

2017 415 citations Imchang Lee, Mauricio Chalita et al. INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY profile →
EzBioCloud: a genome-driven database and platform for microbiome identification and discovery

2024 98 citations Mauricio Chalita, Hyun‐Seok Oh et al. INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mauricio Chalita South Korea	8	468	258	118	71	59	14	647
Fernando Hayashi Sant’Anna Brazil	14	290 0.6×	124 0.5×	236 2.0×	40 0.6×	28 0.5×	38	600
Kar‐Wai Hong Malaysia	15	439 0.9×	154 0.6×	116 1.0×	58 0.8×	53 0.9×	41	761
Hojun Sung South Korea	13	318 0.7×	107 0.4×	40 0.3×	94 1.3×	24 0.4×	35	530
Gajender Aleti United States	12	311 0.7×	82 0.3×	190 1.6×	72 1.0×	44 0.7×	15	683
Woorim Kang South Korea	14	245 0.5×	110 0.4×	51 0.4×	43 0.6×	15 0.3×	41	487
Robson Ee Malaysia	13	282 0.6×	192 0.7×	101 0.9×	28 0.4×	69 1.2×	41	467
Zhou Bai-Cheng China	3	590 1.3×	396 1.5×	103 0.9×	49 0.7×	71 1.2×	5	675
Yuchen Yan United States	3	292 0.6×	170 0.7×	114 1.0×	82 1.2×	90 1.5×	4	487
Guangneng Peng China	15	306 0.7×	37 0.1×	57 0.5×	100 1.4×	14 0.2×	42	579
Jorge Rocha Mexico	14	262 0.6×	137 0.5×	150 1.3×	42 0.6×	27 0.5×	30	566

Countries citing papers authored by Mauricio Chalita

Since Specialization

Citations

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

Fields of papers citing papers by Mauricio Chalita

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mauricio Chalita

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

All Works

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14 of 14 papers shown

Park, Don Gueu, Woorim Kang, Mauricio Chalita, et al.. (2024). Difference in gut microbial dysbiotic patterns between body-first and brain-first Parkinson's disease. Neurobiology of Disease. 201. 106655–106655. 10 indexed citations

Chalita, Mauricio, Hyun‐Seok Oh, Jae Hyoung Cho, et al.. (2024). EzBioCloud: a genome-driven database and platform for microbiome identification and discovery. INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY. 74(6). 98 indexed citations breakdown →

Kim, Seok Jin, Woorim Kang, Mauricio Chalita, et al.. (2024). Gut Microbiome Composition As a Prognostic Marker in CD19-Targeting CAR T-Cell Therapy for Relapsed/Refractory Diffuse Large B-Cell Lymphoma. Blood. 144(Supplement 1). 1595–1595. 1 indexed citations

Chalita, Mauricio, et al.. (2023). UACG: Up-to-Date Archaeal Core Genes and Software for Phylogenomic Tree Reconstruction. The Journal of Microbiology. 61(7). 683–692. 1 indexed citations

Yoon, Sang Eun, Woorim Kang, Yoon Park, et al.. (2023). The influence of microbial dysbiosis on immunochemotherapy-related efficacy and safety in diffuse large B-cell lymphoma. Blood. 141(18). 2224–2238. 19 indexed citations

Chalita, Mauricio, Abu Sufian, Kihyun Lee, et al.. (2022). Genomic and evolutionary study from SARS-CoV-2 virus isolates from Bangladesh during the early stage of pandemic strongly correlate with European origin and not with China. Genomics. 114(6). 110497–110497.

Oh, Hyun‐Seok, Ui-Gi Min, Hye-Jin Jang, et al.. (2022). Proposal of a health gut microbiome index based on a meta-analysis of Korean and global population datasets. The Journal of Microbiology. 60(5). 533–549. 10 indexed citations

Jo, Sungyang, Woorim Kang, Yun Su Hwang, et al.. (2022). Oral and gut dysbiosis leads to functional alterations in Parkinson’s disease. npj Parkinson s Disease. 8(1). 87–87. 52 indexed citations

Yoon, Sang Eun, Woorim Kang, Mauricio Chalita, et al.. (2021). Comprehensive Understanding of Gut Microbiota in Treatment Naïve Diffuse Large B Cell Lymphoma Patients. Blood. 138(Supplement 1). 2409–2409. 5 indexed citations

10.

Lee, Jaewoong, Kihyun Lee, Jiwon Jung, et al.. (2021). Epidemiologic Linkage of COVID-19 Outbreaks at Two University-affiliated Hospitals in the Seoul Metropolitan Area in March 2020. Journal of Korean Medical Science. 36(4). e38–e38. 6 indexed citations

11.

Chalita, Mauricio, et al.. (2020). Improved Metagenomic Taxonomic Profiling Using a Curated Core Gene-Based Bacterial Database Reveals Unrecognized Species in the Genus Streptococcus. Pathogens. 9(3). 204–204. 19 indexed citations

12.

Ha, Sung Min, Mauricio Chalita, Seung‐Jo Yang, et al.. (2019). Comparative Genomic Analysis of the 2016 Vibrio cholerae Outbreak in South Korea. Frontiers in Public Health. 7. 228–228. 9 indexed citations

13.

Chalita, Mauricio, et al.. (2019). VCGIDB: A Database and Web Resource for the Genomic Islands from Vibrio cholerae. Pathogens. 8(4). 261–261. 2 indexed citations

14.

Lee, Imchang, et al.. (2017). ContEst16S: an algorithm that identifies contaminated prokaryotic genomes using 16S RNA gene sequences. INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY. 67(6). 2053–2057. 415 indexed citations breakdown →

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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