Dennis Goode

668 citations
20 papers · 566 · h-index 13

Impact in

Papers in

Dennis Goode

19 papers receiving 519 citations

Peers

Dennis Goode
Comparison fields: 5 of 104
  • Cell Biology 184
  • Structural Biology 14
  • Molecular Biology 322
  • Biochemistry 19
  • Aging 4
Replace C. J. Tandler with:
C. J. Tandler Argentina
Greta Sander United States
Knute A. Fisher United States
Hidemi Sato Japan
R. W. Merriam United States
Michel Recouvreur France
V. Hanzon Sweden
J.M. Marcum United States
Judith A. Snyder United States
Heinz Holter Denmark
Dennis Goode relative to C. J. Tandler Argentina C. J. Tandler's profile →
Citations per field
00.5×3.5×
C. J. Tandler · 1×
Citations per year

Countries citing papers authored by Dennis Goode

Since Specialization
Citations

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

Fields of papers citing papers by Dennis Goode

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Dennis Goode, 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 Dennis Goode Line = papers co-authored together Dennis Goode links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 1975216
2 197678
3 197436
4 196930
5 197530
6
Stimulation of human chorionic gonadotropin by JAr line choriocarcinoma after inhibition of DNA synthesis.
197927
7 198123
8 198222
9 197322
10 198719
11 197518
12
Effects of the microtubule depolymerizing and stabilizing agents Nocodazole and taxol on glucose-induced insulin secretion from hamster islet tumor (HIT) cells.
199418
13 197515
14 19863
15
Stimulation of human chorionic gonadotropin synthesis in the JAR line of choriocarcinoma cells by inhibitors of DNA synthesis
19773
16 19772
17 19782
18 19821
19 19761
20 19810

About Dennis Goode

Dennis Goode is a scholar working on Molecular Biology, Cell Biology, Public Health, Environmental and Occupational Health, Genetics and Surgery, having authored 20 papers that have together received 566 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (6 papers), Protist diversity and phylogeny (5 papers), Photosynthetic Processes and Mechanisms (3 papers), Gestational Trophoblastic Disease Studies (2 papers), Plant Molecular Biology Research (1 paper), Advanced Electron Microscopy Techniques and Applications (1 paper), Genetic and Kidney Cyst Diseases (1 paper) and Microbial Community Ecology and Physiology (1 paper). The work is most often cited by research in Cell Biology (184 citations), Structural Biology (14 citations), Molecular Biology (322 citations), Biochemistry (19 citations) and Aging (4 citations). Dennis Goode has collaborated with scholars based in United States. Frequent co-authors include Walter Daems, Eddie Wisse, I. Quintus Molenaar, P. van Duijn, Timothy K. Maugel, M. A. Hayat, Edward D. Salmon, Dale B. Bonar, L. E. Roth and Glenn K. Walker. Their work appears in journals such as Biosystems, Journal of Molecular Biology, Journal of Morphology, The Journal of Cell Biology and Experimental Cell 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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