Earl G. Adams

962 citations
26 papers · 819 indexed · h-index 13
Topics
Cancer therapeutics and mechanisms (9 papers)DNA Repair Mechanisms (3 papers)Immune Cell Function and Interaction (3 papers)

In The Last Decade

Earl G. Adams

23 papers receiving 784 citations

Peers

Earl G. Adams
Comparison fields: 5 of 94
  • Molecular Biology 360
  • Oncology 257
  • Immunology 100
  • Epidemiology 99
  • Cancer Research 91
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Countries citing papers authored by Earl G. Adams

Since Specialization
Citations

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

Fields of papers citing papers by Earl G. Adams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Earl G. Adams. 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 Earl G. Adams. The network helps show where Earl G. Adams may publish in the future.

Co-authorship network of co-authors of Earl G. Adams

This figure shows the co-authorship network connecting the top 25 collaborators of Earl G. Adams. A scholar is included among the top collaborators of Earl G. Adams based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Earl G. Adams. Earl G. Adams is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 13
4 0
5 5
6 112
7 51
8 249
9 21
10
Lethality, DNA alkylation, and cell cycle effects of adozelesin (U-73975) on rodent and human cells.
29
11 4
12 83
13
Characterization of B16 melanoma cells resistant to the CC-1065 analogue U-71,184.
7
14
Effects of U-71,184 and several other CC-1065 analogues on cell survival and cell cycle of Chinese hamster ovary cells.
17
15
Effects of 7-R-O-methylnogarol (menogaril) on L1210 cell progression in vitro and in vivo.
3
16
Cell cycle effects of prostaglandins A1, A2, and D2 in human and murine melanoma cells in culture.
81
17 2
18
Cell cycle effects of CC-1065.
19
19
Effect of 7-con-O-methylnogarol on DNA synthesis, survival, and cell cycle progression of Chinese hamster ovary cells.
20
20
Effects of 7-con-0-methylnogarol (7-omen) on cell progression of cho and l1210 cells in vitro and l1210 cells in vivo. Abstr.
1

About Earl G. Adams

Earl G. Adams is a scholar working on Applied Microbiology and Biotechnology, Pharmaceutical Science and Toxicology, having authored 26 papers that have together received 819 indexed citations. Recurring topics across this work include Cancer therapeutics and mechanisms (9 papers), DNA Repair Mechanisms (3 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Oncology (257 citations), Biophysics (44 citations) and Cancer Research (91 citations). Earl G. Adams has collaborated with scholars based in United States, Nigeria and Canada. Frequent co-authors include Bijoy K. Bhuyan, C. Bruce Bagwell, Li H. Li, Sheri L. Crampton, B. K. Bhuyan, Kathleen L. Rubino, Peter L. Collins, Sandra L. Kuentzel, Thomas Goodman and Jane A. Gross. Their work appears in journals such as Journal of Virology, Annals of the New York Academy of Sciences and Journal of Cellular Physiology.

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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