Ivan G. Costa

11.3k total citations · 2 hit papers
124 papers, 4.9k citations indexed

About

Ivan G. Costa is a scholar working on Molecular Biology, Hematology and Genetics. According to data from OpenAlex, Ivan G. Costa has authored 124 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 93 papers in Molecular Biology, 22 papers in Hematology and 16 papers in Genetics. Recurrent topics in Ivan G. Costa's work include Gene expression and cancer classification (33 papers), Bioinformatics and Genomic Networks (23 papers) and Epigenetics and DNA Methylation (22 papers). Ivan G. Costa is often cited by papers focused on Gene expression and cancer classification (33 papers), Bioinformatics and Genomic Networks (23 papers) and Epigenetics and DNA Methylation (22 papers). Ivan G. Costa collaborates with scholars based in Germany, Brazil and Netherlands. Ivan G. Costa's co-authors include Martin Zenke, Alexander Schliep, Pablo Andretta Jaskowiak, Ricardo B. C. Prudêncio, Teresa B. Ludermir, Wolfgang Wagner, André Nascimento, Ricardo J. G. B. Campello, Zhijian Li and Marcílio C. P. de Souto and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Ivan G. Costa

120 papers receiving 4.8k citations

Hit 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.

Therapeutic inhibition of inflammatory monocyte recruitment reduces steatohepatitis and liver fibrosis

2017 421 citations Oliver Krenkel, Tobias Puengel et al. Hepatology profile →
Comparison of methods and resources for cell-cell communication inference from single-cell RNA-Seq data

2022 237 citations Daniel Dimitrov, Dénes Türei et al. Nature Communications profile →

Peers

Countries citing papers authored by Ivan G. Costa

Since Specialization

Citations

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

Fields of papers citing papers by Ivan G. Costa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ivan G. Costa. 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 Ivan G. Costa. The network helps show where Ivan G. Costa may publish in the future.

Co-authorship network of co-authors of Ivan G. Costa

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	scACCorDiON: a clustering approach for explainable patient level cell–cell communication graph analysis 2025 ·PubMed ·James S. Nagai, Tiago Maié, Michael T. Schaub, Ivan G. Costa	1
2	Inhibiting the alarmin‐driven hematopoiesis‐stromal cell crosstalk in primary myelofibrosis ameliorates bone marrow fibrosis 2025 ·HemaSphere ·Hélène F.E. Gleitz, (unknown), Inge Snoeren, Charlotte Boys, James S. Nagai, (unknown), (unknown), (unknown), (unknown), (unknown), Eric M. Bindels, Julio Sáez-Rodríguez, Thomas Vogl, Rafael Kramann, Aurélien Dugourd, Ivan G. Costa, Rebekka K. Schneider	0
3	Advances and challenges in cell–cell communication inference: a comprehensive review of tools, resources, and future directions 2025 ·Briefings in Bioinformatics ·(unknown), James S. Nagai, (unknown), (unknown), (unknown), (unknown), (unknown), Ettore Mosca, Ivan G. Costa, Barbara Di Camillo, Enrica Calura, Giacomo Baruzzo	3
4	SIngle cell level Genotyping Using scRna Data (SIGURD) 2024 ·Briefings in Bioinformatics ·Martin Graßhoff, (unknown), Nicolas Chatain, (unknown), Angela Maurer, Ralf Weiskirchen, (unknown), Ivan G. Costa	0
5	Next-Generation Morphometry for pathomics-data mining in histopathology 2023 ·Nature Communications ·David L. Hölscher, Nassim Bouteldja, (unknown), María Luisa Russo, (unknown), Alireza Vafaei Sadr, Mingbo Cheng, Vladimı́r Tesař, Saskia von Stillfried, Barbara M. Klinkhammer, Jonathan Barratt, Jürgen Floege, S. A. Roberts, Rosanna Coppo, Ivan G. Costa, Roman D. Bülow, Peter Boor	67
6	Enhanced fatty acid oxidation through Metformin and Baicalin as therapy for COVID-19 and associated inflammatory states in lung and kidney 2023 ·Free Radical Biology and Medicine ·Verónica Miguel, C. Rey, Jessica Tituaña, (unknown), J. Ignacio Herrero, (unknown), Laura Fernández, Carolina Castillo, (unknown), James S. Nagai, Katharina C. Reimer, Jitske Jansen, Rafael Kramann, Ivan G. Costa, Ana Castro, José Miguel Rodríguez González-Moro, Santiago Lamas	1
7	Targeted DNA Methylation Analysis Facilitates Leukocyte Counts in Dried Blood Samples 2023 ·Clinical Chemistry ·(unknown), Tiago Maié, (unknown), (unknown), Deepika Puri, (unknown), Jan Kramer, Lothar Rink, Steffen Koschmieder, Ivan G. Costa, Wolfgang Wagner	6
8	Myelofibrosis at diagnosis is associated with the failure of treatment-free remission in CML patients 2023 ·Frontiers in Pharmacology ·(unknown), Margherita Vieri, (unknown), (unknown), (unknown), Ivan G. Costa, Tiago Maié, (unknown), Nicolas Chatain, Fabian Beier, Michael Huber, Wolfgang Wagner, Martina Crysandt, Tim H. Brümmendorf, Mirle Schemionek	2
9	Induction of senescence upon loss of the Ash2l core subunit of H3K4 methyltransferase complexes 2022 ·Nucleic Acids Research ·(unknown), (unknown), (unknown), Chao‐Chung Kuo, (unknown), (unknown), (unknown), Ivan G. Costa, Juliane Lüscher‐Firzlaff, Bernhard Lüscher	7
10	Mapping the cardiac vascular niche in heart failure 2022 ·Nature Communications ·Fabian Peisker, Maurice Halder, James S. Nagai, Susanne Ziegler, Nadine Kaesler, Konrad Hoeft, Ronghui Li, Eric M. Bindels, Christoph Kuppe, Julia Moellmann, (unknown), Christian Stoppe, Michael T. Schaub, Rebekka K. Schneider, Ivan G. Costa, Rafael Kramann	53
11	Loss of the Ash2l subunit of histone H3K4 methyltransferase complexes reduces chromatin accessibility at promoters 2022 ·Scientific Reports ·(unknown), (unknown), (unknown), Chao‐Chung Kuo, (unknown), (unknown), (unknown), Juliane Lüscher‐Firzlaff, Ivan G. Costa, Bernhard Lüscher	7
12	Single-cell analysis of cultured bone marrow stromal cells reveals high similarity to fibroblasts in situ 2022 ·Experimental Hematology ·(unknown), (unknown), Inge Snoeren, James S. Nagai, Nils B. Leimkühler, Ronghui Li, (unknown), (unknown), (unknown), Sabine Neuß, Eric M. Bindels, Ivan G. Costa, Rebekka K. Schneider	6
13	Comparison of methods and resources for cell-cell communication inference from single-cell RNA-Seq data breakdown → 2022 ·Nature Communications ·Daniel Dimitrov, Dénes Türei, Martín Garrido‐Rodríguez, (unknown), James S. Nagai, Charlotte Boys, Ricardo O. Ramirez Flores, Hyojin Kim, Bence Szalai, Ivan G. Costa, Alberto Valdeolivas, Aurélien Dugourd, Julio Sáez-Rodríguez	237
14	Cognate recognition of microbial antigens defines constricted CD4+ T cell receptor repertoires in the inflamed colon 2021 ·Immunity ·(unknown), (unknown), (unknown), Angela Schippers, Aida Iljazović, Eric J. C. Gálvez, Ali T. Abdallah, Norbert Wagner, Ivan G. Costa, Till Strowig, Oliver Pabst	12
15	Therapeutic inhibition of inflammatory monocyte recruitment reduces steatohepatitis and liver fibrosis breakdown → 2017 ·Hepatology ·Oliver Krenkel, Tobias Puengel, Olivier Govaere, Ali T. Abdallah, Jana C. Mossanen, Marlene Kohlhepp, Anke Liepelt, Éric Lefebvre, Tom Luedde, Claus Hellerbrand, Ralf Weiskirchen, Thomas Longerich, Ivan G. Costa, Quentin M. Anstee, Christian Trautwein, Frank Tacke	421
16	Data complexity meta-features for regression problems 2017 ·Machine Learning ·Ana Carolina Lorena, (unknown), Péricles Miranda, Ivan G. Costa, Ricardo B. C. Prudêncio	44
17	Surface Topography Guides Morphology and Spatial Patterning of Induced Pluripotent Stem Cell Colonies 2017 ·Stem Cell Reports ·Giulio Abagnale, Antonio Sechi, Michael F. Steger, Qihui Zhou, Chao‐Chung Kuo, (unknown), Carmen Schalla, Gerhard Müller‐Newen, Martin Zenke, Ivan G. Costa, Patrick van Rijn, Arnold Gillner, Wolfgang Wagner	121
18	Proximity Measures for Clustering Gene Expression Microarray Data: A Validation Methodology and a Comparative Analysis 2013 ·IEEE/ACM Transactions on Computational Biology and Bioinformatics ·Pablo Andretta Jaskowiak, Ricardo J. G. B. Campello, Ivan G. Costa	44
19	CLEVER: clique-enumerating variant finder 2012 ·Bioinformatics ·Tobias Marschall, Ivan G. Costa, Stefan Canzar, Markus Bauer, Gunnar W. Klau, Alexander Schliep, Alexander Schönhuth	52
20	Comparative study on proximity indices for cluster analysis of gene expression time series 2002 ·Journal of Intelligent & Fuzzy Systems ·Ivan G. Costa, (unknown), Marcílio C. P. de Souto	8

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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