Gary E. Schiltz

2.6k citations
56 papers · 1.9k · h-index 19

Impact in

Papers in

    • Protein Degradation and Inhibitors 13
    • Chemical Synthesis and Analysis 6
    • Biochemical and Molecular Research 4
    • Ubiquitin and proteasome pathways 4
    • Receptor Mechanisms and Signaling 4

Gary E. Schiltz

54 papers receiving 1.9k citations

Peers

Gary E. Schiltz
Comparison fields: 5 of 101
  • Biological Psychiatry 84
  • Cancer Research 265
  • Molecular Biology 1.1k
  • Oncology 344
  • Genetics 124
Replace Nilla Roberta Avanzi with:
Nilla Roberta Avanzi Italy
Xinrong Tian United States
Nicole Streiner United States
Wenan Qiang United States
Michael Hedvat United States
Brian Metcalf United States
Dinesh Kumar Thotala United States
Gargi Dan Basu United States
Zhimin Gu China
Alfredo C. Castro United States
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Citations per field
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Citations per year

Countries citing papers authored by Gary E. Schiltz

Since Specialization
Citations

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

Fields of papers citing papers by Gary E. Schiltz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Gary E. Schiltz, 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 Gary E. Schiltz Line = papers co-authored together Gary E. Schiltz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019360
2 2020180
3 2017169
4 2001105
5 2006101
6 201698
7 201892
8 202180
9 201557
10 201854
11 201654
12 202048
13 202247
14 201944
15 202244
16 201742
17 202025
18 202319
19 201419
20 202018

About Gary E. Schiltz

Gary E. Schiltz is a scholar working on Molecular Biology, Organic Chemistry, Oncology, Genetics and Hematology, having authored 56 papers that have together received 1.9k indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (13 papers), Chemical Synthesis and Analysis (6 papers), Neuroscience and Neuropharmacology Research (5 papers), Biochemical and Molecular Research (4 papers), Ubiquitin and proteasome pathways (4 papers), HIV/AIDS drug development and treatment (4 papers), Receptor Mechanisms and Signaling (4 papers) and CAR-T cell therapy research (3 papers). The work is most often cited by research in Biological Psychiatry (84 citations), Cancer Research (265 citations), Molecular Biology (1.1k citations), Oncology (344 citations) and Genetics (124 citations). Gary E. Schiltz has collaborated with scholars based in United States, Philippines and China. Frequent co-authors include Rama K. Mishra, Arun Kumar Ghosh, Geoffrey Bilcer, Jindan Yu, Sarki Abba Abdulkadir, J. Brandon Parker, Debabrata Chakravarti, Atul D. Jain, Vinay Sagar and Mihai I. Truica. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Biological Chemistry, Synthesis, Journal of Visualized Experiments and Blood.

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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