Troy Moore

43 papers receiving 2.8k citations

Troy Moore's Hit Papers

The Transcriptional Program in the Response of Human Fibroblasts to Serum 1999 · 1.7k citations
1.7k0+9+18Years since publication50010001.5k

Peers

Troy Moore
Comparison fields: 5 of 147
  • Aging 62
  • Psychiatry and Mental health 350
  • Molecular Biology 1.7k
  • Oncology 285
  • Cancer Research 152
Replace Xiao‐Nan Li with:
Xiao‐Nan Li United States
Hailiang Huang United States
Johannes Zschocke Austria
Yi Zhao United States
Jing Xu China
Kelly L. Rogers Australia
Daniel K. Burns United States
Philipp E. Geyer Germany
Yongchao Ge United States
Anthony T. Yeung United States
Troy Moore relative to Xiao‐Nan Li United States Xiao‐Nan Li's profile →
Citations per field
00.5×3.2×
Xiao‐Nan Li · 1×
Citations per year

Countries citing papers authored by Troy Moore

Since Specialization
Citations

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

Fields of papers citing papers by Troy Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Transcriptional Program in the Response of Human Fibroblasts to Serum
Hit paper breakdown →
19991716
2 2015256
3 2007235
4 2001138
5 201393
6 201065
7 201560
8 200732
9 200031
10 201824
11 200624
12 201523
13 200120
14 201620
15 201120
16 200618
17 201718
18 201118
19 201816
20 201815

About Troy Moore

Troy Moore is a scholar working on Molecular Biology, Psychiatry and Mental health, Microbiology, Immunology and General Health Professions, having authored 46 papers that have together received 3.0k indexed citations. Recurring topics across this work include Schizophrenia research and treatment (6 papers), Immunotherapy and Immune Responses (5 papers), Immune Response and Inflammation (5 papers), Antimicrobial Peptides and Activities (5 papers), Pain Management and Opioid Use (3 papers), Bipolar Disorder and Treatment (2 papers), Click Chemistry and Applications (2 papers) and Chemical Synthesis and Analysis (2 papers). The work is most often cited by research in Aging (62 citations), Psychiatry and Mental health (350 citations), Molecular Biology (1.7k citations), Oncology (285 citations) and Cancer Research (152 citations). Troy Moore has collaborated with scholars based in United States, Brazil and Japan. Frequent co-authors include Greg Schuler, Deval Lashkari, Dari Shalon, David Botstein, Vishwanath R. Iyer, James R. Hudson, Patrick O. Brown, Douglas T. Ross, Louis M. Staudt and Mark S. Boguski. Their work appears in journals such as Genome Research, Human Molecular Genetics, Mental Health Clinician, ACS Chemical Biology and Nature Chemical Biology.

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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