Tina Graves

29.6k total citations
35 papers, 3.5k citations indexed

About

Tina Graves is a scholar working on Genetics, Molecular Biology and Plant Science. According to data from OpenAlex, Tina Graves has authored 35 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Genetics, 25 papers in Molecular Biology and 24 papers in Plant Science. Recurrent topics in Tina Graves's work include Chromosomal and Genetic Variations (24 papers), Genomic variations and chromosomal abnormalities (18 papers) and Genomics and Chromatin Dynamics (12 papers). Tina Graves is often cited by papers focused on Chromosomal and Genetic Variations (24 papers), Genomic variations and chromosomal abnormalities (18 papers) and Genomics and Chromatin Dynamics (12 papers). Tina Graves collaborates with scholars based in United States, Italy and United Kingdom. Tina Graves's co-authors include Richard K. Wilson, Evan E. Eichler, Maika Malig, Wesley C. Warren, Mario Ventura, Helen Skaletsky, David C. Page, Tatyana Pyntikova, Jeffrey M. Kidd and Francesca Antonacci and has published in prestigious journals such as Nature, Cell and Nature Genetics.

In The Last Decade

Tina Graves

35 papers receiving 3.4k citations

Peers

Tina Graves
Comparison fields: 5 of 133
  • Molecular Biology 2.2k
  • Genetics 1.9k
  • Plant Science 1.4k
  • Immunology 256
  • Cancer Research 122
Replace Rita Neumann with:
Rita Neumann United Kingdom
Kazutoyo Osoegawa United States
Maika Malig United States
Janet M. Young United States
Aoife McLysaght Ireland
Elliott H. Margulies United States
Paul M. Bingham United States
Prim B. Singh United Kingdom
Heinz Winking Germany
Jeffrey M. Kidd United States
Rita Neumann United Kingdom View profile →
Citations per field, relative to Tina Graves
Tina Graves · 1×
Citations per year, relative to Tina Graves
Tina Graves · 1×

Countries citing papers authored by Tina Graves

Since Specialization
Citations

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

Fields of papers citing papers by Tina Graves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tina Graves

This figure shows the co-authorship network connecting the top 25 collaborators of Tina Graves. A scholar is included among the top collaborators of Tina Graves 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 Tina Graves. Tina Graves 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
# Work Indexed citations
1 82
2 20
3 35
4 179
5 51
6 2
7 154
8 55
9 168
10 109
11 78
12 168
13 26
14 41
15 18
16 29
17 128
18 287
19 29
20 194

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026