Seth Berger

3.5k total citations · 1 hit paper
44 papers, 1.8k citations indexed

About

Seth Berger is a scholar working on Molecular Biology, Genetics and Physiology. According to data from OpenAlex, Seth Berger has authored 44 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 15 papers in Genetics and 10 papers in Physiology. Recurrent topics in Seth Berger's work include Erythrocyte Function and Pathophysiology (9 papers), Parvovirus B19 Infection Studies (9 papers) and Blood groups and transfusion (8 papers). Seth Berger is often cited by papers focused on Erythrocyte Function and Pathophysiology (9 papers), Parvovirus B19 Infection Studies (9 papers) and Blood groups and transfusion (8 papers). Seth Berger collaborates with scholars based in United States, Switzerland and Saudi Arabia. Seth Berger's co-authors include Ravi Iyengar, Avi Ma’ayan, Huilei Xu, Amin R. Mazloom, Jayanth Krishnan, Alexander Lachmann, Huda B. Al‐Kouatly, Maximilian Muenke, Ariel F. Martinez and Paul Kruszka and has published in prestigious journals such as Nature Communications, Bioinformatics and PEDIATRICS.

In The Last Decade

Seth Berger

41 papers receiving 1.8k 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.

ChEA: transcription factor regulation inferred from integrating genome-wide ChIP-X experiments

2010 677 citations Alexander Lachmann, Huilei Xu et al. Bioinformatics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Seth Berger United States	18	1.2k	369	214	168	158	44	1.8k
Juan Manuel Ramírez‐Anguita Spain	9	1.5k 1.2×	291 0.8×	211 1.0×	217 1.3×	191 1.2×	21	2.3k
Alba Gutiérrez‐Sacristán United States	9	1.3k 1.1×	343 0.9×	267 1.2×	222 1.3×	255 1.6×	27	2.1k
Deepak K. Rajpal United States	22	1.2k 1.0×	327 0.9×	176 0.8×	98 0.6×	223 1.4×	44	2.0k
Alex A. Morgan United States	9	1.2k 1.0×	499 1.4×	207 1.0×	93 0.6×	166 1.1×	13	1.7k
Amitabh Sharma United States	22	1.9k 1.6×	546 1.5×	300 1.4×	63 0.4×	185 1.2×	38	3.0k
Lang Li United States	23	1.2k 1.0×	521 1.4×	202 0.9×	124 0.7×	384 2.4×	114	2.2k
Álex Bravo Spain	11	2.0k 1.7×	538 1.5×	389 1.8×	296 1.8×	364 2.3×	27	3.1k
Θεοδώρα Κάτσιλα Greece	20	614 0.5×	212 0.6×	293 1.4×	218 1.3×	149 0.9×	89	1.4k
Feng Huang China	18	1.3k 1.1×	693 1.9×	147 0.7×	63 0.4×	304 1.9×	33	1.9k
Luana Licata Italy	17	1.9k 1.6×	464 1.3×	162 0.8×	41 0.2×	183 1.2×	49	2.3k

Countries citing papers authored by Seth Berger

Since Specialization

Citations

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

Fields of papers citing papers by Seth Berger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seth Berger

This figure shows the co-authorship network connecting the top 25 collaborators of Seth Berger. A scholar is included among the top collaborators of Seth Berger 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 Seth Berger. Seth Berger 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:

20 of 20 papers shown

LoTempio, Jonathan, Emmanuèle C. Délot, Vincent A. Fusaro, et al.. (2025). P539: Chatbot-assisted informed consent in genomics research*. Genetics in Medicine Open. 3. 102382–102382.

Driver, Nicholas, et al.. (2025). Computer vision techniques for high-speed atomic force microscopy of DNA molecules. Nanotechnology. 36(29). 295101–295101.

Chong, Jessica X., Seth Berger, Samantha Baxter, et al.. (2024). Considerations for reporting variants in novel candidate genes identified during clinical genomic testing. Genetics in Medicine. 26(10). 101199–101199. 3 indexed citations

Keller, Michael D., Stefan Schattgen, Shanmuganathan Chandrakasan, et al.. (2024). Secondary bone marrow graft loss after third-party virus-specific T cell infusion: Case report of a rare complication. Nature Communications. 15(1). 2749–2749. 3 indexed citations

Liu, Ruby, et al.. (2024). Prenatal Phenotype of Alkuraya‐Kučinskas Syndrome: A Novel Case and Systematic Literature Review. Prenatal Diagnosis. 44(11). 1381–1397. 1 indexed citations

Savage, Sarah, Jonathan LoTempio, Erica D. Smith, et al.. (2023). Using a chat-based informed consent tool in large-scale genomic research. Journal of the American Medical Informatics Association. 31(2). 472–478. 7 indexed citations

Al‐Kouatly, Huda B., et al.. (2023). Diagnostic yield from prenatal exome sequencing for non‐immune hydrops fetalis: A systematic review and meta‐analysis. Clinical Genetics. 103(5). 503–512. 14 indexed citations

Berger, Seth, Georgia Pitsava, Andrea J. Cohen, et al.. (2023). Increased diagnostic yield from negative whole genome‐slice panels using automated reanalysis. Clinical Genetics. 104(3). 377–383. 4 indexed citations

Brewer, Casey, et al.. (2023). PIEZO1 is the most common monogenic etiology of non‐immune hydrops fetalis detected by prenatal exome sequencing. Prenatal Diagnosis. 43(12). 1556–1566. 5 indexed citations

10.

Berger, Seth, et al.. (2022). Fetal pharmacogenomics: A promising addition to complex neonatal care. Molecular Genetics and Metabolism. 137(1-2). 140–145. 4 indexed citations

11.

Hong, Sung‐Kook, Ping Hu, Blake Carrington, et al.. (2020). Functional analysis ofSonic Hedgehogvariants associated with holoprosencephaly in humans using a CRISPR/Cas9 zebrafish model. Human Mutation. 41(12). 2155–2166. 3 indexed citations

12.

Al‐Kouatly, Huda B., et al.. (2020). A systematic review of monogenic etiologies of nonimmune hydrops fetalis. Genetics in Medicine. 23(1). 3–12. 29 indexed citations

13.

Makrythanasis, Periklis, Gabrielle Lemire, Justine Rousseau, et al.. (2020). De Novo KAT5 Variants Cause a Syndrome with Recognizable Facial Dysmorphisms, Cerebellar Atrophy, Sleep Disturbance, and Epilepsy. The American Journal of Human Genetics. 107(3). 564–574. 19 indexed citations

14.

Diaz, Jullianne, et al.. (2019). MAP1B related syndrome: Case presentation and review of literature. American Journal of Medical Genetics Part A. 179(9). 1703–1708. 9 indexed citations

15.

Hu, Ping, Ariel F. Martinez, Paul Kruszka, et al.. (2018). Low-level parental mosaicism affects the recurrence risk of holoprosencephaly. Genetics in Medicine. 21(4). 1015–1020. 9 indexed citations

16.

Berger, Seth, Carla Ciccone, May Christine V. Malicdan, et al.. (2017). Exome analysis of Smith–Magenis-like syndrome cohort identifies de novo likely pathogenic variants. Human Genetics. 136(4). 409–420. 18 indexed citations

17.

Lachmann, Alexander, Huilei Xu, Jayanth Krishnan, et al.. (2010). ChEA: transcription factor regulation inferred from integrating genome-wide ChIP-X experiments. Bioinformatics. 26(19). 2438–2444. 677 indexed citations breakdown →

18.

Berger, Seth & Ravi Iyengar. (2010). Role of systems pharmacology in understanding drug adverse events. WIREs Systems Biology and Medicine. 3(2). 129–135. 101 indexed citations

19.

Ma’ayan, Avi, et al.. (2009). SNAVI: Desktop application for analysis and visualization of large-scale signaling networks. BMC Systems Biology. 3(1). 10–10. 26 indexed citations

20.

Chakravarty, Suvobrata, Sucheta Godbole, Bing Zhang, Seth Berger, & Roberto Sánchez. (2008). Systematic analysis of the effect of multiple templates on the accuracy of comparative models of protein structure. BMC Structural Biology. 8(1). 31–31. 21 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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