Chad E. Schroeder

937 citations
20 papers · 538 · h-index 11

Impact in

  • Toxicology top 10%
    • Organoselenium and organotellurium chemistry
    • Cellular transport and secretion

Papers in

    • Protein Kinase Regulation and GTPase Signaling 4
    • Chemical Synthesis and Analysis 3
    • Enzyme function and inhibition 3
    • Biochemical and Molecular Research 3
    • Viral Infections and Vectors 4

Chad E. Schroeder

20 papers receiving 531 citations

Peers

Chad E. Schroeder
Comparison fields: 5 of 87
  • Toxicology 34
  • Cell Biology 76
  • Infectious Diseases 81
  • Physiology 19
  • Molecular Biology 241
Replace Juanita C. Sharpe with:
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Citations per field
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Citations per year

Countries citing papers authored by Chad E. Schroeder

Since Specialization
Citations

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

Fields of papers citing papers by Chad E. Schroeder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chad E. Schroeder. 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 Chad E. Schroeder. The network helps show where Chad E. Schroeder may publish in the future.

Co-authors

The 25 scholars most cited alongside Chad E. Schroeder, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chad E. Schroeder Line = papers co-authored together Chad E. Schroeder links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 199277
2 201271
3 201468
4
A Potent and Selective Inhibitor of Cdc42 GTPase
201053
5 201644
6 201442
7 201335
8 201527
9 201625
10 201424
11 201715
12 20069
13 20168
14 20178
15
A small molecule pan-inhibitor of Ras-superfamily GTPases with high efficacy towards Rab7
20138
16 20117
17
ML336: Development of Quinazolinone-Based Inhibitors Against Venezuelan Equine Encephalitis Virus (VEEV)
20137
18 20165
19
Identification of Inhibitors of Trypanosoma brucei Hexokinases
20114
20 20021

About Chad E. Schroeder

Chad E. Schroeder is a scholar working on Molecular Biology, Infectious Diseases, Epidemiology, Public Health, Environmental and Occupational Health and Cell Biology, having authored 20 papers that have together received 538 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (4 papers), Cellular transport and secretion (4 papers), Viral Infections and Vectors (4 papers), Chemical Synthesis and Analysis (3 papers), Enzyme function and inhibition (3 papers), Biochemical and Molecular Research (3 papers), Trypanosoma species research and implications (3 papers) and Mosquito-borne diseases and control (3 papers). The work is most often cited by research in Toxicology (34 citations), Cell Biology (76 citations), Infectious Diseases (81 citations), Physiology (19 citations) and Molecular Biology (241 citations). Chad E. Schroeder has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Jennifer E. Golden, Jeffrey Aubé, Denise S. Simpson, Stuart C. Apfel, Herbert H. Schaumburg, Oleg Ursu, Larry A. Sklar, Angela Wandinger‐Ness, Anna Waller and Zurab Surviladze. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Journal of Medicinal Chemistry, ACS Chemical Biology, SLAS DISCOVERY and Journal of Organometallic Chemistry.

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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