Gerard Folch

2.5k total citations · 1 hit paper
6 papers, 1.4k citations indexed

About

Gerard Folch is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Gerard Folch has authored 6 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Genetics. Recurrent topics in Gerard Folch's work include Cancer Cells and Metastasis (3 papers), TGF-β signaling in diseases (2 papers) and Cell Adhesion Molecules Research (2 papers). Gerard Folch is often cited by papers focused on Cancer Cells and Metastasis (3 papers), TGF-β signaling in diseases (2 papers) and Cell Adhesion Molecules Research (2 papers). Gerard Folch collaborates with scholars based in Spain, United States and Ireland. Gerard Folch's co-authors include Fatena Bellahcene, Joumana Jabado-Michaloud, Véronique Giudicelli, Xavier Brochet, Patrice Duroux, Jerome C. Lane, Marie‐Paule Lefranc, Chantal Ginestoux, François Ehrenmann and Isabel Cuartas and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Cancer Cell.

In The Last Decade

Gerard Folch

6 papers receiving 1.4k 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.

IMGT(R), the international ImMunoGeneTics information system(R)

2008 752 citations Marie‐Paule Lefranc, Véronique Giudicelli et al. Nucleic Acids Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gerard Folch Spain	5	725	553	365	307	256	6	1.4k
Manfred Kraus United States	17	536 0.7×	983 1.8×	253 0.7×	163 0.5×	180 0.7×	40	1.7k
Carol F. Webb United States	23	689 1.0×	661 1.2×	200 0.5×	131 0.4×	136 0.5×	56	1.4k
Sergio Roa United States	19	700 1.0×	601 1.1×	226 0.6×	113 0.4×	241 0.9×	35	1.3k
Roland Geisberger Austria	18	388 0.5×	526 1.0×	417 1.1×	88 0.3×	184 0.7×	49	1.1k
Toru Fukazawa Japan	19	710 1.0×	895 1.6×	343 0.9×	393 1.3×	154 0.6×	39	1.7k
Karla Plevová Czechia	18	651 0.9×	519 0.9×	232 0.6×	125 0.4×	451 1.8×	48	1.3k
Sazuku Nisitani Japan	17	485 0.7×	730 1.3×	242 0.7×	156 0.5×	113 0.4×	20	1.4k
Konrad Miatkowski United States	13	1.0k 1.4×	529 1.0×	192 0.5×	123 0.4×	120 0.5×	16	1.6k
Sidorenko Sp Ukraine	19	743 1.0×	1.3k 2.3×	359 1.0×	198 0.6×	157 0.6×	45	2.0k
Michael Kragh Denmark	23	509 0.7×	318 0.6×	753 2.1×	488 1.6×	93 0.4×	51	1.4k

Countries citing papers authored by Gerard Folch

Since Specialization

Citations

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

Fields of papers citing papers by Gerard Folch

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gerard Folch

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

All Works

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6 of 6 papers shown

1.

Annibali, Daniela, Jonathan R. Whitfield, Emilia Favuzzi, et al.. (2014). Myc inhibition is effective against glioma and reveals a role for Myc in proficient mitosis. Nature Communications. 5(1). 4632–4632. 145 indexed citations

2.

Anido, Judit, Andrea Sáez‐Borderías, Alba Gonzàlez-Juncà, et al.. (2010). Receptor Inhibitors Target the CD44(high)/Id1(high) Glioma-Initiating Cell Population in Human Glioblastoma. 18(6). 655–668. 5 indexed citations

3.

Anido, Judit, Andrea Sáez‐Borderías, Alba Gonzàlez-Juncà, et al.. (2010). 40 TGFβ receptor inhibitors target the CD44high/Id1high glioma stem cell population in human glioblastoma. European Journal of Cancer Supplements. 8(5). 10–11. 1 indexed citations

4.

Peñuelas, Silvia, Judit Anido, Gerard Folch, et al.. (2009). TGF-β Increases Glioma-Initiating Cell Self-Renewal through the Induction of LIF in Human Glioblastoma. Cancer Cell. 15(4). 315–327. 419 indexed citations

5.

Lefranc, Marie‐Paule, Véronique Giudicelli, Chantal Ginestoux, et al.. (2008). IMGT(R), the international ImMunoGeneTics information system(R). Nucleic Acids Research. 37(Database). D1006–D1012. 752 indexed citations breakdown →

6.

Martorell, Lourdes, Gerard Folch, Joaquı́n Valero, et al.. (2006). New variants in the mitochondrial genomes of schizophrenic patients. European Journal of Human Genetics. 14(5). 520–528. 56 indexed citations

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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