Dane M. Springer

579 citations
23 papers · 379 · h-index 12

Impact in

    • Veterinary medicine and infectious diseases
  • Toxicology top 10%
    • Bioactive Compounds and Antitumor Agents

Papers in

Dane M. Springer

22 papers receiving 360 citations

Peers

Dane M. Springer
Comparison fields: 5 of 69
  • Small Animals 68
  • Toxicology 28
  • Molecular Medicine 36
  • Organic Chemistry 170
  • Pharmacology 63
Replace Gerald Brooks with:
Gerald Brooks United States
Olivia Soria‐Arteche Mexico
Hellmuth Reinshagen Austria
John P. Dirlam United States
Ann C. Horan United States
Raulo Parmegiani United States
HELEN A. AX United States
Hideo Sakakibara Japan
C. S. V. HOUGE‐FRYDRYCH United States
Renee A. Bouley United States
Dane M. Springer relative to Gerald Brooks United States Gerald Brooks's profile →
Citations per field
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Gerald Brooks · 1×
Citations per year

Countries citing papers authored by Dane M. Springer

Since Specialization
Citations

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

Fields of papers citing papers by Dane M. Springer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dane M. Springer. 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 Dane M. Springer. The network helps show where Dane M. Springer may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200851
2 198951
3 199846
4 200836
5 200329
6 200226
7 200926
8 200318
9 200117
10 200515
11 200614
12 200112
13 19868
14 20006
15 20035
16 20024
17 20084
18 20103
19 19973
20 19962

About Dane M. Springer

Dane M. Springer is a scholar working on Molecular Biology, Organic Chemistry, Small Animals, Infectious Diseases and Genetics, having authored 23 papers that have together received 379 indexed citations. Recurring topics across this work include Veterinary medicine and infectious diseases (6 papers), Cancer therapeutics and mechanisms (5 papers), Synthesis and Biological Evaluation (5 papers), Antimicrobial Resistance in Staphylococcus (4 papers), Venomous Animal Envenomation and Studies (3 papers), Intraperitoneal and Appendiceal Malignancies (2 papers), Medicinal plant effects and applications (2 papers) and Synthesis and biological activity (2 papers). The work is most often cited by research in Small Animals (68 citations), Toxicology (28 citations), Molecular Medicine (36 citations), Organic Chemistry (170 citations) and Pharmacology (63 citations). Dane M. Springer has collaborated with scholars based in United States. Frequent co-authors include Owen B. Wallace, Robert K. Boeckman, Joanne J. Bronson, Thomas R. Alessi, Ramesh N. Patel, Ronald L. Hanson, James A. Matson, David B. Brzozowski, Thomas L. LaPorte and Yi Chen. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Bioorganic & Medicinal Chemistry, Tetrahedron Letters, Organic Process Research & Development and European Journal of Medicinal Chemistry.

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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