Emily J. Geddes

470 total citations
8 papers, 270 citations indexed

About

Emily J. Geddes is a scholar working on Molecular Medicine, Molecular Biology and Genetics. According to data from OpenAlex, Emily J. Geddes has authored 8 papers receiving a total of 270 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Medicine, 4 papers in Molecular Biology and 4 papers in Genetics. Recurrent topics in Emily J. Geddes's work include Antibiotic Resistance in Bacteria (5 papers), Bacterial Genetics and Biotechnology (4 papers) and Antimicrobial Peptides and Activities (2 papers). Emily J. Geddes is often cited by papers focused on Antibiotic Resistance in Bacteria (5 papers), Bacterial Genetics and Biotechnology (4 papers) and Antimicrobial Peptides and Activities (2 papers). Emily J. Geddes collaborates with scholars based in United States, Switzerland and South Sudan. Emily J. Geddes's co-authors include Paul J. Hergenrother, Hyang Yeon Lee, Gee W. Lau, Bryon Drown, Stephen E. Motika, Nahed Ismail, Zhong Li, Myung‐Ryul Lee, Christoph Bieniossek and Alfredo García and has published in prestigious journals such as Nature, Journal of the American Chemical Society and Nature Protocols.

In The Last Decade

Emily J. Geddes

7 papers receiving 267 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Emily J. Geddes United States	6	154	124	58	45	44	8	270
Logan D. Andrews United States	10	190 1.2×	83 0.7×	32 0.6×	51 1.1×	18 0.4×	11	331
Kelly Fahnoe United States	4	92 0.6×	80 0.6×	38 0.7×	34 0.8×	16 0.4×	5	223
Vadim Baidin United States	7	129 0.8×	134 1.1×	64 1.1×	46 1.0×	29 0.7×	7	259
Steven M. Crespo‐Carbone United States	9	132 0.9×	71 0.6×	51 0.9×	48 1.1×	27 0.6×	9	244
Cullen L. Myers Canada	7	120 0.8×	60 0.5×	40 0.7×	53 1.2×	25 0.6×	9	199
Christian Fetzer Germany	9	154 1.0×	44 0.4×	43 0.7×	40 0.9×	37 0.8×	15	285
Kirsten J. Meyer United States	9	143 0.9×	42 0.3×	26 0.4×	68 1.5×	42 1.0×	15	271
Hi-jea Cha Germany	4	145 0.9×	247 2.0×	88 1.5×	70 1.6×	26 0.6×	5	355
Varvara Pokrovskaya Israel	8	259 1.7×	92 0.7×	34 0.6×	74 1.6×	57 1.3×	8	388
Elizabeth Grimsey United Kingdom	7	182 1.2×	124 1.0×	26 0.4×	38 0.8×	100 2.3×	9	306

Countries citing papers authored by Emily J. Geddes

Since Specialization

Citations

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

Fields of papers citing papers by Emily J. Geddes

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emily J. Geddes. 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 Emily J. Geddes. The network helps show where Emily J. Geddes may publish in the future.

Co-authorship network of co-authors of Emily J. Geddes

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

8 of 8 papers shown

1.

Seal, Srijit, Emily J. Geddes, Collette S. Guy, et al.. (2025). Transfer learning enables discovery of sub-micromolar antibacterials for ESKAPE pathogens from ultra-large chemical spaces. Chemical Science. 16(45). 21518–21533.

2.

Geddes, Emily J., Alfredo García, Myung‐Ryul Lee, et al.. (2023). Porin-independent accumulation in Pseudomonas enables antibiotic discovery. Nature. 624(7990). 145–153. 34 indexed citations

3.

Geddes, Emily J., et al.. (2023). Cell-Based Assay to Determine Type 3 Secretion System Translocon Assembly in Pseudomonas aeruginosa Using Split Luciferase. ACS Infectious Diseases. 9(12). 2652–2664. 1 indexed citations

4.

Geddes, Emily J., et al.. (2021). Rationalizing the generation of broad spectrum antibiotics with the addition of a positive charge. Chemical Science. 12(45). 15028–15044. 19 indexed citations

5.

Geddes, Emily J., Zhong Li, & Paul J. Hergenrother. (2021). An LC-MS/MS assay and complementary web-based tool to quantify and predict compound accumulation in E. coli. Nature Protocols. 16(10). 4833–4854. 30 indexed citations

6.

Motika, Stephen E., et al.. (2020). Gram-Negative Antibiotic Active Through Inhibition of an Essential Riboswitch. Journal of the American Chemical Society. 142(24). 10856–10862. 54 indexed citations

7.

Geddes, Emily J., et al.. (2020). Compound Uptake into E. coli Can Be Facilitated by N -Alkyl Guanidiniums and Pyridiniums. ACS Infectious Diseases. 7(1). 162–173. 33 indexed citations

8.

Drown, Bryon, Emily J. Geddes, Hyang Yeon Lee, et al.. (2019). Implementation of permeation rules leads to a FabI inhibitor with activity against Gram-negative pathogens. Nature Microbiology. 5(1). 67–75. 99 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.

Explore authors with similar magnitude of impact