David Sadava

1.7k citations
57 papers · 1.3k · h-index 19

Impact in

Papers in

    • Lung Cancer Research Studies 4
    • Metabolism, Diabetes, and Cancer 3
    • Enzyme function and inhibition 3
    • Cancer therapeutics and mechanisms 3

David Sadava

52 papers receiving 1.2k citations

Peers

David Sadava
Comparison fields: 5 of 158
  • Applied Microbiology and Biotechnology 32
  • Biochemistry 64
  • Plant Science 323
  • Molecular Biology 507
  • Pharmacology 112
Replace Kamani Hemamala Tennekoon with:
Kamani Hemamala Tennekoon Sri Lanka
Takashi Mita Japan
Patimah Ismail Malaysia
Steven M. D’Ambrosio United States
Saurabh Pratap Singh India
Miguel Alcaraz Spain
Soo-Hyun Kim South Korea
Jin Pei China
Nilesh W. Gaikwad United States
Euikyung Kim South Korea
David Sadava relative to Kamani Hemamala Tennekoon Sri Lanka Kamani Hemamala Tennekoon's profile →
Citations per field
00.5×1.5×
Kamani Hemamala Tennekoon · 1×
Citations per year

Countries citing papers authored by David Sadava

Since Specialization
Citations

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

Fields of papers citing papers by David Sadava

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Life: The Science of Biology
1983217
2 2007120
3 200289
4 197376
5 197159
6 200257
7 197452
8 200951
9 200245
10 201345
11 199745
12 197343
13 202142
14
Plants, Genes, and Agriculture
199439
15 201931
16 197124
17 200223
18
Cell biology : organelle structure and function
199322
19 198221
20 196919

About David Sadava

David Sadava is a scholar working on Oncology, Molecular Biology, Nutrition and Dietetics, Plant Science and Biotechnology, having authored 57 papers that have together received 1.3k indexed citations. Recurring topics across this work include Lung Cancer Research Studies (4 papers), Diet and metabolism studies (4 papers), Metabolism, Diabetes, and Cancer (3 papers), Phytase and its Applications (3 papers), Enzyme function and inhibition (3 papers), Cancer therapeutics and mechanisms (3 papers), Diet, Metabolism, and Disease (3 papers) and Neuroendocrine Tumor Research Advances (3 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (32 citations), Biochemistry (64 citations), Plant Science (323 citations), Molecular Biology (507 citations) and Pharmacology (112 citations). David Sadava has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Maarten J. Chrispeels, Susan E. Kane, Elizabeth L. Whitlock, M. J. Chrispeels, F Walker, David W. Still, Shiuan Chen, Daniel F. Alonso, Huixiao Hong and Mark A. Sloane. Their work appears in journals such as Cancer Letters, Life Sciences, Biochemical and Biophysical Research Communications, Developmental Biology and Cancers.

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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