Eric Scholar

2.4k citations
27 papers · 1.8k indexed · 1 hit paper · h-index 18

Eric Scholar

27 papers receiving 1.7k citations

Hit Papers

Role of Tyrosine Kinase Inhibitors in Cancer Therapy7852005202620122019250500750

Peers

Eric Scholar
Comparison fields: 5 of 110
  • Physiology 107
  • Oncology 581
  • Immunology 279
  • Molecular Biology 893
  • Hematology 141
Replace W. Schüler with:
W. Schüler Switzerland
Lou A. Smets Netherlands
Hitoshi Akedo Japan
A. Leyva Netherlands
Józefa Węsierska‐Gądek Austria
Douglas C. Hixson United States
John M. Venditti United States
Willi Kreis United States
Henk J. Broxterman Netherlands
Eugene Mechetner United States
Eric Scholar relative to W. Schüler Switzerland W. Schüler's profile →
Citations per field
00.5×1.5×2.2×
W. Schüler · 1×
Citations per year

Countries citing papers authored by Eric Scholar

Since Specialization
Citations

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

Fields of papers citing papers by Eric Scholar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200921
2 200945
3 2007233
4
Role of Tyrosine Kinase Inhibitors in Cancer Therapybreakdown →
2005785
5
Fluoroquinolines: Past, Present and Future of a Novel Group of Antibacterial Agents
200311
6 200049
7 19993
8 199458
9 199124
10 198919
11 198923
12 19872
13
Isolation and preliminary characterization of an Adriamycin-resistant murine fibrosarcoma cell line.
198338
14 19826
15 197912
16 19738
17 197363
18 197340
19
Synergistic effect of 6-mercaptopurine and 6-methylmercaptopurine ribonucleoside on the levels of adenine nucleotides of Sarcoma 180 cells.
197237
20 197152

About Eric Scholar

Eric Scholar is a scholar working on Physiology, Molecular Biology and Oncology, having authored 27 papers that have together received 1.8k indexed citations. Recurring topics across this work include Biochemical and Molecular Research (10 papers), Neuropeptides and Animal Physiology (3 papers), HIV/AIDS drug development and treatment (3 papers), Adenosine and Purinergic Signaling (3 papers), Acute Lymphoblastic Leukemia research (3 papers), Neonatal Health and Biochemistry (2 papers), Cancer therapeutics and mechanisms (2 papers) and Immune cells in cancer (2 papers). The work is most often cited by research in Physiology (107 citations), Oncology (581 citations) and Immunology (279 citations). Eric Scholar has collaborated with scholars based in United States and Italy. Frequent co-authors include Amit Arora, James E. Talmadge, Moses Donkor, Peter A. Calabresi, Robert E. Parks, Myron L. Toews, Phyllis R. Brown, William B. Pratt, Khushboo Agarwal and R. P. Agarwal. Their work appears in journals such as Biochemical Pharmacology, Cancer Letters, Nutrition and Cancer, Cancer and Journal of Pharmacology and Experimental Therapeutics.

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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