Kim Somfleth

599 total citations · 1 hit paper
9 papers, 391 citations indexed

About

Kim Somfleth is a scholar working on Nuclear and High Energy Physics, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Kim Somfleth has authored 9 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Nuclear and High Energy Physics, 3 papers in Molecular Biology and 1 paper in Cardiology and Cardiovascular Medicine. Recurrent topics in Kim Somfleth's work include Particle physics theoretical and experimental studies (6 papers), High-Energy Particle Collisions Research (6 papers) and Quantum Chromodynamics and Particle Interactions (6 papers). Kim Somfleth is often cited by papers focused on Particle physics theoretical and experimental studies (6 papers), High-Energy Particle Collisions Research (6 papers) and Quantum Chromodynamics and Particle Interactions (6 papers). Kim Somfleth collaborates with scholars based in Australia, Germany and United Kingdom. Kim Somfleth's co-authors include R. Horsley, G. Schierholz, P. E. L. Rakow, R. D. Young, J. M. Zanotti, H. Perlt, Y. Nakamura, A. Schiller, Nandan S. Gokhale and Andrew Oberst and has published in prestigious journals such as Nature, Science and Physical Review Letters.

In The Last Decade

Kim Somfleth

9 papers receiving 382 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.

ADAR1 mutation causes ZBP1-dependent immunopathology

2022 145 citations Nicholas Hubbard, Joshua Ames et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kim Somfleth Australia	8	212	144	73	15	15	9	391
Soumya Rao India	8	194 0.9×	35 0.2×	50 0.7×	17 1.1×	24 1.6×	11	342
Ze-Rui Wang China	9	137 0.6×	60 0.4×	30 0.4×	2 0.1×	14 0.9×	29	249
Yun‐De Li China	9	146 0.7×	74 0.5×	6 0.1×	27 1.8×	16 1.1×	41	280
Pablo García‐Martínez Argentina	8	58 0.3×	51 0.4×	81 1.1×	2 0.1×	11 0.7×	28	266
Guo-Liang Ma China	10	216 1.0×	66 0.5×	25 0.3×	2 0.1×	8 0.5×	26	343
Takumi Ohmura Japan	9	49 0.2×	52 0.4×	97 1.3×	3 0.2×	43 2.9×	28	295
Jael Miranda Mexico	8	57 0.3×	71 0.5×	31 0.4×	5 0.3×	17 1.1×	16	273
B. Dey United States	7	60 0.3×	62 0.4×	11 0.2×	2 0.1×	6 0.4×	19	149

Countries citing papers authored by Kim Somfleth

Since Specialization

Citations

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

Fields of papers citing papers by Kim Somfleth

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kim Somfleth

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

All Works

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9 of 9 papers shown

1.

Gokhale, Nandan S., Kim Somfleth, Matthew G. Thompson, et al.. (2024). Cellular RNA interacts with MAVS to promote antiviral signaling. Science. 386(6728). eadl0429–eadl0429. 7 indexed citations

2.

Can, Kadir Utku, R. Horsley, H. Perlt, et al.. (2022). Investigating the Compton amplitude subtraction function in lattice QCD. Proceedings of The 38th International Symposium on Lattice Field Theory — PoS(LATTICE2021). 28–28. 4 indexed citations

3.

Hubbard, Nicholas, Joshua Ames, Megan Maurano, et al.. (2022). ADAR1 mutation causes ZBP1-dependent immunopathology. Nature. 607(7920). 769–775. 145 indexed citations breakdown →

4.

McFadden, Michael J., et al.. (2021). FTO Suppresses STAT3 Activation and Modulates Proinflammatory Interferon-Stimulated Gene Expression. Journal of Molecular Biology. 434(6). 167247–167247. 19 indexed citations

5.

Perlt, H., R. Horsley, Yoshifumi Nakamura, et al.. (2020). Structure functions from the Compton amplitude. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 137–137. 8 indexed citations

6.

Can, Kadir Utku, R. Horsley, Y. Nakamura, et al.. (2020). Lattice QCD evaluation of the Compton amplitude employing the Feynman-Hellmann theorem. Physical review. D. 102(11). 29 indexed citations

7.

Young, R. D., R. Horsley, Yoshifumi Nakamura, et al.. (2020). Scaling and higher twist in the nucleon Compton amplitude. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 278–278. 9 indexed citations

8.

Horsley, R., Y. Nakamura, H. Perlt, et al.. (2017). Electromagnetic form factors at large momenta from lattice QCD. Physical review. D. 96(11). 40 indexed citations

9.

Horsley, R., Y. Nakamura, H. Perlt, et al.. (2017). Nucleon Structure Functions from Operator Product Expansion on the Lattice. Physical Review Letters. 118(24). 242001–242001. 130 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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