Michelle M. Li

890 total citations · 1 hit paper
12 papers, 360 citations indexed

About

Michelle M. Li is a scholar working on Molecular Biology, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Michelle M. Li has authored 12 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Artificial Intelligence and 3 papers in Computational Theory and Mathematics. Recurrent topics in Michelle M. Li's work include Computational Drug Discovery Methods (3 papers), Advanced Graph Neural Networks (3 papers) and Genomics and Rare Diseases (2 papers). Michelle M. Li is often cited by papers focused on Computational Drug Discovery Methods (3 papers), Advanced Graph Neural Networks (3 papers) and Genomics and Rare Diseases (2 papers). Michelle M. Li collaborates with scholars based in United States, Canada and Switzerland. Michelle M. Li's co-authors include Marinka Žitnik, Kexin Huang, Matthew G. Durrant, Benjamin A. Siranosian, Stephen B. Montgomery, Ami S. Bhatt, Ayush Noori, Man Liang, Ashwin N. Ananthakrishnan and Ruth Johnson and has published in prestigious journals such as Nature Communications, Bioinformatics and Nature Methods.

In The Last Decade

Michelle M. Li

12 papers receiving 356 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.

Graph representation learning in biomedicine and healthcare

2022 139 citations Michelle M. Li, Kexin Huang et al. Nature Biomedical Engineering profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michelle M. Li United States	6	154	80	56	52	37	12	360
Carsten Damm Germany	7	211 1.4×	74 0.9×	28 0.5×	86 1.7×	105 2.8×	16	436
Giuseppe Pigola Italy	8	116 0.8×	92 1.1×	57 1.0×	11 0.2×	18 0.5×	16	286
Wei‐Jiun Lin Taiwan	10	152 1.0×	106 1.3×	15 0.3×	42 0.8×	27 0.7×	19	471
Dongsheng Che United States	12	250 1.6×	51 0.6×	12 0.2×	55 1.1×	34 0.9×	31	366
Teng Wang China	11	248 1.6×	34 0.4×	24 0.4×	47 0.9×	6 0.2×	24	432
Sara Brunetti Italy	10	182 1.2×	13 0.2×	34 0.6×	82 1.6×	41 1.1×	38	522
Andréa Pinna France	10	155 1.0×	40 0.5×	9 0.2×	46 0.9×	12 0.3×	39	377
Ramzan Umarov Saudi Arabia	9	589 3.8×	33 0.4×	35 0.6×	34 0.7×	80 2.2×	12	716
Anam Tariq Pakistan	16	77 0.5×	46 0.6×	41 0.7×	22 0.4×	5 0.1×	58	876
Liya Yue China	11	296 1.9×	18 0.2×	105 1.9×	35 0.7×	5 0.1×	28	520

Countries citing papers authored by Michelle M. Li

Since Specialization

Citations

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

Fields of papers citing papers by Michelle M. Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michelle M. Li. 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 Michelle M. Li. The network helps show where Michelle M. Li may publish in the future.

Co-authorship network of co-authors of Michelle M. Li

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

12 of 12 papers shown

1.

Alsentzer, Emily, et al.. (2025). Few shot learning for phenotype-driven diagnosis of patients with rare genetic diseases. npj Digital Medicine. 8(1). 380–380. 3 indexed citations

2.

Li, Michelle M., Man Liang, Alberto Valdeolivas, et al.. (2024). Contextual AI models for single-cell protein biology. Nature Methods. 21(8). 1546–1557. 25 indexed citations

3.

Johnson, Ruth, et al.. (2024). Graph Artificial Intelligence in Medicine. PubMed. 7(1). 345–368. 13 indexed citations

4.

Noori, Ayush, Michelle M. Li, Amelia L.M. Tan, & Marinka Žitnik. (2023). Metapaths: similarity search in heterogeneous knowledge graphs via meta-paths. Bioinformatics. 39(5). 3 indexed citations

5.

Li, Michelle M., Sarah Miles, Jeannie Callum, et al.. (2023). Postoperative anemia in cardiac surgery patients: a narrative review. Canadian Journal of Anesthesia/Journal canadien d anesthésie. 71(3). 408–421. 5 indexed citations

6.

Alsentzer, Emily, et al.. (2023). Simulation of undiagnosed patients with novel genetic conditions. Nature Communications. 14(1). 6403–6403. 4 indexed citations

7.

Chen, Zhiyong, Monica Saini, Jasmine Shimin Koh, et al.. (2022). Acute to Subacute Atraumatic Entrapment Neuropathies in Patients With CMT1A: A Report of a Distinct Phenotypic Variant of CMT1A. Frontiers in Neurology. 13. 826634–826634. 2 indexed citations

8.

Li, Michelle M., Kexin Huang, & Marinka Žitnik. (2022). Graph representation learning in biomedicine and healthcare. Nature Biomedical Engineering. 6(12). 1353–1369. 139 indexed citations breakdown →

9.

Alsentzer, Emily, Samuel G. Finlayson, Michelle M. Li, & Marinka Žitnik. (2020). Subgraph Neural Networks. Neural Information Processing Systems. 33. 8017–8029. 5 indexed citations

10.

Yang, Xi, M Hashemi, Nadya Andini, et al.. (2020). RNA markers for ultra-rapid molecular antimicrobial susceptibility testing in fluoroquinolone-treated Klebsiella pneumoniae. Journal of Antimicrobial Chemotherapy. 75(7). 1747–1755. 10 indexed citations

11.

Vázquez, Marynel, et al.. (2020). Gaze by Semi-Virtual Robotic Heads: Effects of Eye and Head Motion. 11065–11071. 6 indexed citations

12.

Durrant, Matthew G., Michelle M. Li, Benjamin A. Siranosian, Stephen B. Montgomery, & Ami S. Bhatt. (2019). A Bioinformatic Analysis of Integrative Mobile Genetic Elements Highlights Their Role in Bacterial Adaptation. Cell Host & Microbe. 27(1). 140–153.e9. 145 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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