Jerry Ma

3.9k total citations · 1 hit paper
7 papers, 1.7k citations indexed

About

Jerry Ma is a scholar working on Molecular Biology, Artificial Intelligence and Atmospheric Science. According to data from OpenAlex, Jerry Ma has authored 7 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Artificial Intelligence and 2 papers in Atmospheric Science. Recurrent topics in Jerry Ma's work include Protein Structure and Dynamics (2 papers), Atmospheric and Environmental Gas Dynamics (2 papers) and Atmospheric chemistry and aerosols (2 papers). Jerry Ma is often cited by papers focused on Protein Structure and Dynamics (2 papers), Atmospheric and Environmental Gas Dynamics (2 papers) and Atmospheric chemistry and aerosols (2 papers). Jerry Ma collaborates with scholars based in United States, Israel and Switzerland. Jerry Ma's co-authors include Rob Fergus, Alexander Rives, Joshua Meier, Myle Ott, C. Lawrence Zitnick, Siddharth Goyal, Demi Guo, Zeming Lin, Tom Sercu and Jason Liu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Atmospheric chemistry and physics and Quarterly Journal of the Royal Meteorological Society.

In The Last Decade

Jerry Ma

7 papers receiving 1.7k 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.

Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences

2021 1.4k citations Alexander Rives, Joshua Meier et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jerry Ma United States	6	1.3k	245	174	150	125	7	1.7k
Christian Panse Switzerland	22	817 0.7×	22 0.1×	36 0.2×	145 1.0×	187 1.5×	57	1.9k
Tamer Kahveci United States	22	1.0k 0.8×	134 0.5×	51 0.3×	238 1.6×	40 0.3×	121	1.6k
Weiguo Liu China	17	572 0.5×	50 0.2×	104 0.6×	16 0.1×	73 0.6×	89	1.2k
Minghua Deng China	28	1.9k 1.5×	378 1.5×	63 0.4×	21 0.1×	65 0.5×	88	2.5k
Moritz Hoffmann Switzerland	9	1.0k 0.8×	362 1.5×	74 0.4×	9 0.1×	291 2.3×	16	1.5k
Kazuhiro Takemoto Japan	21	892 0.7×	150 0.6×	8 0.0×	17 0.1×	171 1.4×	83	1.8k
Osamu Gotoh Japan	24	2.4k 1.9×	64 0.3×	68 0.4×	35 0.2×	127 1.0×	49	3.0k
David L. Wild United Kingdom	21	1.3k 1.1×	71 0.3×	15 0.1×	23 0.2×	179 1.4×	53	1.8k

Countries citing papers authored by Jerry Ma

Since Specialization

Citations

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

Fields of papers citing papers by Jerry Ma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jerry Ma

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

All Works

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7 of 7 papers shown

1.

Rives, Alexander, Joshua Meier, Tom Sercu, et al.. (2021). Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences. Proceedings of the National Academy of Sciences. 118(15). 1429 indexed citations breakdown →

2.

Ma, Jerry & Denis Yarats. (2021). On the Adequacy of Untuned Warmup for Adaptive Optimization. Proceedings of the AAAI Conference on Artificial Intelligence. 35(10). 8828–8836. 18 indexed citations

3.

Du, Yilun, Joshua Meier, Jerry Ma, Rob Fergus, & Alexander Rives. (2020). Energy-based models for atomic-resolution protein conformations. arXiv (Cornell University). 4 indexed citations

4.

Ma, Jerry & Denis Yarats. (2018). Quasi-hyperbolic momentum and Adam for deep learning. arXiv (Cornell University). 11 indexed citations

5.

Ma, Jerry, Wei‐Ning Yang, Min Luo, & Ninghui Li. (2014). A Study of Probabilistic Password Models. 689–704. 171 indexed citations

6.

Ḧopfner, M., N. Larsen, Reinhold Spang, et al.. (2006). MIPAS detects Antarctic stratospheric belt of NAT PSCs caused by mountain waves. Atmospheric chemistry and physics. 6(5). 1221–1230. 81 indexed citations

7.

Ma, Jerry, Darryn W. Waugh, A. R. Douglass, et al.. (2004). Interannual variability of stratospheric trace gases: The role of extratropical wave driving. Quarterly Journal of the Royal Meteorological Society. 130(602). 2459–2474. 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.

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