Eric Schwartz

1.4k citations
30 papers · 1.1k · h-index 17

Impact in

Papers in

Eric Schwartz

30 papers receiving 1.1k citations

Peers

Eric Schwartz
Comparison fields: 5 of 103
  • Molecular Medicine 153
  • Oncology 336
  • Pathology and Forensic Medicine 194
  • Biotechnology 61
  • Toxicology 24
Replace Kedar Hastak with:
Kedar Hastak United States
Qinghua Yao China
Shuvomoy Banerjee India
Alex Starr Israel
Jyoti Nautiyal United States
Dewan Md Sakib Hossain United States
Arash Soltani Iran
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Citations per field
00.5×3.9×
Kedar Hastak · 1×
Citations per year

Countries citing papers authored by Eric Schwartz

Since Specialization
Citations

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

Fields of papers citing papers by Eric Schwartz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010125
2 2010100
3 200884
4 201179
5 201375
6 202173
7 201270
8 201958
9 201553
10
Pro-growth role of the JMJD2C histone demethylase in HCT-116 colon cancer cells and identification of curcuminoids as JMJD2 inhibitors.
201453
11 201050
12 201149
13 201238
14 202026
15 202121
16 199521
17 200516
18 202114
19 202211
20 20028

About Eric Schwartz

Eric Schwartz is a scholar working on Oncology, Molecular Biology, Surgery, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine, having authored 30 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (6 papers), Protein Tyrosine Phosphatases (4 papers), Meat and Animal Product Quality (3 papers), Fermentation and Sensory Analysis (3 papers), Neuroblastoma Research and Treatments (2 papers), Ferroptosis and cancer prognosis (2 papers), Sarcoma Diagnosis and Treatment (2 papers) and interferon and immune responses (2 papers). The work is most often cited by research in Molecular Medicine (153 citations), Oncology (336 citations), Pathology and Forensic Medicine (194 citations), Biotechnology (61 citations) and Toxicology (24 citations). Eric Schwartz has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include James R. Fuchs, Chenglong Li, Pui‐Kai Li, Jiayuh Lin, Devin G. Peterson, Gregory B. Lesinski, Laurianne Paravisini, Li Lin, Dale G. Hoyt and Stacey Fossey. Their work appears in journals such as Food Chemistry, Gastrointestinal Endoscopy, Journal for ImmunoTherapy of Cancer, Molecular Cancer and Cancer Research.

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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