Lian Jacobs

487 total citations · 1 hit paper
6 papers, 217 citations indexed

About

Lian Jacobs is a scholar working on Molecular Biology, Infectious Diseases and Animal Science and Zoology. According to data from OpenAlex, Lian Jacobs has authored 6 papers receiving a total of 217 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Infectious Diseases and 2 papers in Animal Science and Zoology. Recurrent topics in Lian Jacobs's work include SARS-CoV-2 and COVID-19 Research (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers) and Animal Virus Infections Studies (2 papers). Lian Jacobs is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers) and Animal Virus Infections Studies (2 papers). Lian Jacobs collaborates with scholars based in United States, Poland and Spain. Lian Jacobs's co-authors include Yu Chen, Eric M. Lewandowski, John S. Choy, Haozhou Tan, Xiujun Zhang, Ryan T. Morgan, Jun Wang, Yanmei Hu, Xufang Deng and Maura V. Gongora and has published in prestigious journals such as Nature Communications, Biochemistry and PLoS Pathogens.

In The Last Decade

Lian Jacobs

6 papers receiving 216 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.

Naturally Occurring Mutations of SARS-CoV-2 Main Protease Confer Drug Resistance to Nirmatrelvir

2023 167 citations Yanmei Hu, Eric M. Lewandowski et al. ACS Central Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lian Jacobs United States	4	148	72	69	32	16	6	217
Ryan T. Morgan United States	4	155 1.0×	70 1.0×	67 1.0×	20 0.6×	11 0.7×	4	205
Yuxian Xiong China	5	170 1.1×	112 1.6×	112 1.6×	22 0.7×	18 1.1×	6	284
Francesco Costacurta Austria	5	153 1.0×	81 1.1×	62 0.9×	17 0.5×	11 0.7×	8	198
Ian A. Durie United States	6	155 1.0×	102 1.4×	151 2.2×	29 0.9×	16 1.0×	9	326
Line A. Ryberg Denmark	7	179 1.2×	67 0.9×	106 1.5×	14 0.4×	15 0.9×	10	287
Maria I. Luck United States	3	230 1.6×	101 1.4×	89 1.3×	20 0.6×	14 0.9×	4	300
Emmanuel Heilmann Austria	8	168 1.1×	84 1.2×	77 1.1×	18 0.6×	13 0.8×	11	237
Karen Anbro Gammeltoft Denmark	6	186 1.3×	97 1.3×	69 1.0×	27 0.8×	10 0.6×	9	281
Ziyang Fu China	7	146 1.0×	109 1.5×	145 2.1×	24 0.8×	16 1.0×	13	334
Xiaolin Xie China	7	160 1.1×	110 1.5×	91 1.3×	57 1.8×	25 1.6×	11	312

Countries citing papers authored by Lian Jacobs

Since Specialization

Citations

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

Fields of papers citing papers by Lian Jacobs

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lian Jacobs

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

All Works

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6 of 6 papers shown

1.

Lewandowski, Eric M., Xiujun Zhang, Haozhou Tan, et al.. (2025). Distal protein-protein interactions contribute to nirmatrelvir resistance. Nature Communications. 16(1). 1266–1266. 3 indexed citations

2.

Jacobs, Lian, et al.. (2024). Drug Discovery in the Field of β-Lactams: An Academic Perspective. Antibiotics. 13(1). 59–59. 18 indexed citations

3.

Hu, Yanmei, Eric M. Lewandowski, Haozhou Tan, et al.. (2023). Naturally Occurring Mutations of SARS-CoV-2 Main Protease Confer Drug Resistance to Nirmatrelvir. ACS Central Science. 9(8). 1658–1669. 167 indexed citations breakdown →

4.

Lewandowski, Eric M., Yanmei Hu, Ryan T. Morgan, et al.. (2023). A yeast-based system to study SARS-CoV-2 Mpro structure and to identify nirmatrelvir resistant mutations. PLoS Pathogens. 19(8). e1011592–e1011592. 16 indexed citations

5.

Lewandowski, Eric M., Lian Jacobs, Xiujun Zhang, et al.. (2022). Structural Insights into Molecular Recognition by Human Chemokine CCL19. Biochemistry. 61(5). 311–318. 3 indexed citations

6.

Lewandowski, Eric M., Łukasz Szczupak, Aleksandra Kowalczyk, et al.. (2020). Metallocenyl 7‐ACA Conjugates: Antibacterial Activity Studies and Atomic‐Resolution X‐ray Crystal Structure with CTX‐M β‐Lactamase. ChemBioChem. 21(15). 2187–2195. 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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