Jeffrey Guss

1.0k total citations
2 papers, 20 citations indexed

About

Jeffrey Guss is a scholar working on Pharmacology, Oncology and Spectroscopy. According to data from OpenAlex, Jeffrey Guss has authored 2 papers receiving a total of 20 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Pharmacology, 1 paper in Oncology and 1 paper in Spectroscopy. Recurrent topics in Jeffrey Guss's work include Immune Response and Inflammation (1 paper), Neutropenia and Cancer Infections (1 paper) and Hematological disorders and diagnostics (1 paper). Jeffrey Guss is often cited by papers focused on Immune Response and Inflammation (1 paper), Neutropenia and Cancer Infections (1 paper) and Hematological disorders and diagnostics (1 paper). Jeffrey Guss collaborates with scholars based in United States. Jeffrey Guss's co-authors include Derek J. Hook, Edward J. Pack, Mui Cheung, John G. Emery, Michael P. DeMartino, Sanjay Kumar, Miriam Burman, Joshua E. Cottom, Nicholas J. Laping and Allen Oliff and has published in prestigious journals such as Blood Advances and SLAS DISCOVERY.

In The Last Decade

Jeffrey Guss

2 papers receiving 18 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeffrey Guss United States 2 11 7 6 4 3 2 20
I. Ueda Japan 5 27 2.5× 7 1.0× 5 0.8× 3 0.8× 3 1.0× 13 44
Guo Yong United Kingdom 3 17 1.5× 19 2.7× 6 1.0× 4 1.0× 1 0.3× 8 44
Lijian Feng China 5 18 1.6× 12 1.7× 5 0.8× 15 3.8× 2 0.7× 9 52
Ernie Chen United States 2 14 1.3× 4 0.6× 5 0.8× 4 1.0× 4 48
Cody A. Newman United States 4 6 0.5× 4 0.6× 5 0.8× 1 0.3× 4 1.3× 7 36
Biswa Prakash Nayak India 5 16 1.5× 6 0.9× 11 1.8× 4 1.0× 17 69
Michael J. J. Recchia Canada 4 12 1.1× 9 1.3× 12 2.0× 7 1.8× 1 0.3× 5 32
Hongtao Sui China 3 15 1.4× 8 1.1× 1 0.2× 6 1.5× 4 1.3× 7 40
Randy Mojica-Flores Panama 3 12 1.1× 5 0.7× 1 0.2× 2 0.5× 3 1.0× 5 23
Jan Martin Czechia 3 13 1.2× 9 1.3× 10 2.5× 3 1.0× 4 28

Countries citing papers authored by Jeffrey Guss

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey Guss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeffrey Guss

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

All Works

2 of 2 papers shown
1.
Laping, Nicholas J., Michael P. DeMartino, Joshua E. Cottom, et al.. (2017). TLR2 agonism reverses chemotherapy-induced neutropenia in Macaca fascicularis. Blood Advances. 1(26). 2553–2562. 2 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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