Michael Jaskolka

417 total citations · 1 hit paper
13 papers, 209 citations indexed

About

Michael Jaskolka is a scholar working on Molecular Biology, Genetics and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Michael Jaskolka has authored 13 papers receiving a total of 209 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Genetics and 3 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Michael Jaskolka's work include ATP Synthase and ATPases Research (5 papers), Hemoglobinopathies and Related Disorders (5 papers) and Prenatal Screening and Diagnostics (3 papers). Michael Jaskolka is often cited by papers focused on ATP Synthase and ATPases Research (5 papers), Hemoglobinopathies and Related Disorders (5 papers) and Prenatal Screening and Diagnostics (3 papers). Michael Jaskolka collaborates with scholars based in United States and Canada. Michael Jaskolka's co-authors include Patricia M. Kane, Keunpyo Kim, Albert M. Maguire, Thiran Jayasundera, Mark E. Pennesi, Tomás S. Alemán, Jason Comander, Andreas Lauer, Steven T. Bailey and Stephanie A. Bueler and has published in prestigious journals such as New England Journal of Medicine, Journal of Biological Chemistry and Blood.

In The Last Decade

Michael Jaskolka

11 papers receiving 204 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.

Gene Editing for CEP290 -Associated Retinal Degeneration

2024 86 citations Tomás S. Alemán, Thiran Jayasundera et al. New England Journal of Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Jaskolka United States	8	163	39	21	17	17	13	209
Neelam Dabas Sen United States	9	450 2.8×	16 0.4×	20 1.0×	8 0.5×	4 0.2×	9	492
Marie Morimoto United States	6	121 0.7×	23 0.6×	19 0.9×	12 0.7×		10	183
Shengyao Zhi China	6	342 2.1×	131 3.4×	33 1.6×	5 0.3×	7 0.4×	8	358
Kevin Nguyen United States	6	70 0.4×	12 0.3×	13 0.6×	4 0.2×	23 1.4×	10	213
Xiaozhen Liu China	10	187 1.1×	57 1.5×	7 0.3×	3 0.2×	45 2.6×	29	275
Flora Nolent France	6	174 1.1×	90 2.3×	12 0.6×	51 3.0×		9	250
Yingzi Yue United States	5	209 1.3×	37 0.9×	5 0.2×	5 0.3×	3 0.2×	5	240
Yuri Choi South Korea	9	126 0.8×	47 1.2×	7 0.3×	6 0.4×	1 0.1×	27	228
Lucy D. Brennan United States	6	239 1.5×	12 0.3×	17 0.8×	5 0.3×		9	341
Nirupa Desai United Kingdom	5	269 1.7×	18 0.5×	19 0.9×	1 0.1×	4 0.2×	7	295

Countries citing papers authored by Michael Jaskolka

Since Specialization

Citations

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

Fields of papers citing papers by Michael Jaskolka

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Jaskolka

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

All Works

Sort: Min cites: Since: Top N: Style:

13 of 13 papers shown

Frangoul, Haydar, Kai‐Hsin Chang, Michael Jaskolka, et al.. (2025). Reni-Cel, an Investigational AsCas12a Gene-Edited Cell Medicine, Led to Successful Engraftment, Increased Hemoglobin, and Reduced Transfusion Dependence in Patients with Transfusion-Dependent Beta-Thalassemia Treated in the Edithal Trial. Transplantation and Cellular Therapy. 31(2). S254–S255.

Alemán, Tomás S., Thiran Jayasundera, Keunpyo Kim, et al.. (2024). Gene Editing for CEP290 -Associated Retinal Degeneration. New England Journal of Medicine. 390(21). 1972–1984. 86 indexed citations breakdown →

Frangoul, Haydar, Mark C. Walters, Kai‐Hsin Chang, et al.. (2024). Reni-Cel, an Investigational AsCas12a Gene-Edited Cell Medicine, Led to Successful Engraftment, Increased Hemoglobin, and Reduced Transfusion Dependence in Patients with Transfusion-Dependent Beta-Thalassemia Treated in the Edithal Trial. Blood. 144(Supplement 1). 7456–7456.

Frangoul, Haydar, Christopher McKinney, Luis Piñeiro, et al.. (2024). AsCas12a Gene Editing of HBG1/2 Promoters with Edit-301 Results in Early and Sustained Normalization of Hemoglobin and Increased Fetal Hemoglobin in Patients with Severe Sickle Cell Disease and Transfusion-Dependent Beta-Thalassemia. Transplantation and Cellular Therapy. 30(2). S238–S239. 5 indexed citations

Frangoul, Haydar, Christopher McKinney, Luis Piñeiro, et al.. (2023). AsCas12a Gene Editing of HBG1/2 Promoters with EDIT-301 Results in Rapid and Sustained Normalization of Hemoglobin and Increased Fetal Hemoglobin in Patients with Severe Sickle Cell Disease and Transfusion-Dependent Beta-Thalassemia. Blood. 142(Supplement 1). 4996–4996. 11 indexed citations

Hanna, Rabi, Haydar Frangoul, Luis Piñeiro, et al.. (2023). S264: EDIT-301 SHOWS PROMISING PRELIMINARY SAFETY AND EFFICACY RESULTS IN THE PHASE I/II CLINICAL TRIAL (RUBY) OF PATIENTS WITH SEVERE SICKLE CELL DISEASE USING HIGHLY SPECIFIC AND EFFICIENT ASCAS12A ENZYME. HemaSphere. 7(S3). e05170e0–e05170e0. 12 indexed citations

Bueler, Stephanie A., et al.. (2022). Coordinated conformational changes in the V1 complex during V-ATPase reversible dissociation. Nature Structural & Molecular Biology. 29(5). 430–439. 18 indexed citations

Jaskolka, Michael, et al.. (2021). RAVE and Rabconnectin-3 Complexes as Signal Dependent Regulators of Organelle Acidification. Frontiers in Cell and Developmental Biology. 9. 698190–698190. 32 indexed citations

Jaskolka, Michael, et al.. (2021). Defining steps in RAVE-catalyzed V-ATPase assembly using purified RAVE and V-ATPase subcomplexes. Journal of Biological Chemistry. 296. 100703–100703. 16 indexed citations

10.

Jaskolka, Michael, et al.. (2021). The Human Rogdi Protein Is the Functional Homologue of Yeast Rav2 and Can Promote V‐ATPase Assembly. The FASEB Journal. 35(S1). 1 indexed citations

11.

Jaskolka, Michael & Patricia M. Kane. (2020). Interaction between the yeast RAVE complex and Vph1-containing Vo sectors is a central glucose-sensitive interaction required for V-ATPase reassembly. Journal of Biological Chemistry. 295(8). 2259–2269. 17 indexed citations

12.

Kane, Patricia M., et al.. (2020). Deciphering the isoform code contained in V _o a‐subunit isoforms of the V‐ATPase. The FASEB Journal. 34(S1). 1–1. 1 indexed citations

13.

Campbell, Michael, et al.. (2013). <i>Artemisia vulgaris</i> L. Chemotypes. American Journal of Plant Sciences. 4(6). 1265–1269. 10 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.

Explore authors with similar magnitude of impact