Jeff Schorey

496 total citations
9 papers, 397 citations indexed

About

Jeff Schorey is a scholar working on Molecular Biology, Cell Biology and Microbiology. According to data from OpenAlex, Jeff Schorey has authored 9 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Cell Biology and 2 papers in Microbiology. Recurrent topics in Jeff Schorey's work include Extracellular vesicles in disease (3 papers), Cellular transport and secretion (2 papers) and Bacterial Infections and Vaccines (2 papers). Jeff Schorey is often cited by papers focused on Extracellular vesicles in disease (3 papers), Cellular transport and secretion (2 papers) and Bacterial Infections and Vaccines (2 papers). Jeff Schorey collaborates with scholars based in United States and Uganda. Jeff Schorey's co-authors include Karen M. Dobos, Nicole A. Kruh‐Garcia, Pramod Giri, William Worodria, Payam Nahid, Lelia H. Chaisson, Lisa M. Wolfe, J. Lucian Davis, Megan Lucas and Gustavo Díaz and has published in prestigious journals such as Blood, The Journal of Immunology and PLoS ONE.

In The Last Decade

Jeff Schorey

9 papers receiving 395 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jeff Schorey United States	6	317	125	115	115	59	9	397
Tom Cremer Netherlands	5	361 1.1×	88 0.7×	121 1.1×	76 0.7×	56 0.9×	5	447
André Cronemberger Andrade Brazil	11	278 0.9×	58 0.5×	73 0.6×	103 0.9×	156 2.6×	17	439
Phillip Heaton United States	9	258 0.8×	66 0.5×	76 0.7×	59 0.5×	86 1.5×	13	390
Ingo Roehl Germany	9	413 1.3×	83 0.7×	78 0.7×	48 0.4×	214 3.6×	14	609
Michael Reuter Germany	6	218 0.7×	39 0.3×	129 1.1×	89 0.8×	19 0.3×	10	369
Francesco Manfredi Italy	14	623 2.0×	200 1.6×	224 1.9×	226 2.0×	42 0.7×	32	743
Marcin Stawowczyk United States	5	162 0.5×	78 0.6×	118 1.0×	223 1.9×	44 0.7×	6	475
Olivia Harder United States	10	328 1.0×	131 1.0×	116 1.0×	78 0.7×	159 2.7×	23	499
Mohamed Habbeddine France	10	202 0.6×	42 0.3×	117 1.0×	267 2.3×	65 1.1×	12	475
Megan Lucas United States	8	275 0.9×	58 0.5×	305 2.7×	208 1.8×	242 4.1×	14	618

Countries citing papers authored by Jeff Schorey

Since Specialization

Citations

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

Fields of papers citing papers by Jeff Schorey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeff Schorey

This figure shows the co-authorship network connecting the top 25 collaborators of Jeff Schorey. A scholar is included among the top collaborators of Jeff Schorey 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 Jeff Schorey. Jeff Schorey 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.

Lucas, Megan, et al.. (2018). Protein Digestion, Ultrafiltration, and Size Exclusion Chromatography to Optimize the Isolation of Exosomes from Human Blood Plasma and Serum. Journal of Visualized Experiments. 34 indexed citations

2.

Díaz, Gustavo, Megan Lucas, Yong Cheng, et al.. (2018). Protein Digestion, Ultrafiltration, and Size Exclusion Chromatography to Optimize the Isolation of Exosomes from Human Blood Plasma and Serum. Journal of Visualized Experiments. 54 indexed citations

3.

Cheng, Yong, et al.. (2016). A novel method for intratracheal injection of infectious agents into mice. Laboratory Animals. 51(5). 530–533. 2 indexed citations

4.

Kruh‐Garcia, Nicole A., Lisa M. Wolfe, Lelia H. Chaisson, et al.. (2014). Detection of Mycobacterium tuberculosis Peptides in the Exosomes of Patients with Active and Latent M. tuberculosis Infection Using MRM-MS. PLoS ONE. 9(7). e103811–e103811. 123 indexed citations

5.

Giri, Pramod, Nicole A. Kruh‐Garcia, Karen M. Dobos, & Jeff Schorey. (2010). Proteomic analysis identifies highly antigenic proteins in exosomes from M. tuberculosis ‐infected and culture filtrate protein‐treated macrophages. PROTEOMICS. 10(17). 3190–3202. 149 indexed citations

6.

Schorey, Jeff. (2006). Macrophage activation:'tis the way the WNT blows. Blood. 108(3). 784–784. 1 indexed citations

7.

Kozlowski, Miroslaw, et al.. (1999). NK Lytic-Associated Molecule: A Novel Gene Selectively Expressed in Cells with Cytolytic Function. The Journal of Immunology. 163(4). 1775–1785. 25 indexed citations

8.

Schorey, Jeff & John M. Chirgwin. (1991). Mapping of Lysosomal Targeting Determinants of Cathepsin D. Advances in experimental medicine and biology. 306. 339–342. 3 indexed citations

9.

Sachdev, Deepali, Jeff Schorey, & John M. Chirgwin. (1991). Efficient Mutagenesis, Expression and Purification of Procathepsin D. Advances in experimental medicine and biology. 306. 335–338. 6 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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