Tamara Goode

1.7k total citations · 1 hit paper
23 papers, 1.2k citations indexed

About

Tamara Goode is a scholar working on Genetics, Molecular Biology and Physiology. According to data from OpenAlex, Tamara Goode has authored 23 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Genetics, 9 papers in Molecular Biology and 7 papers in Physiology. Recurrent topics in Tamara Goode's work include Virus-based gene therapy research (12 papers), Pain Mechanisms and Treatments (4 papers) and CAR-T cell therapy research (3 papers). Tamara Goode is often cited by papers focused on Virus-based gene therapy research (12 papers), Pain Mechanisms and Treatments (4 papers) and CAR-T cell therapy research (3 papers). Tamara Goode collaborates with scholars based in United States, Belgium and Germany. Tamara Goode's co-authors include James M. Wilson, Christian Hinderer, Peter Bell, Nathan Katz, Elizabeth L. Buza, Laura K. Richman, Cecilia Dyer, Juliette Hordeaux, Roberto Calcedo and Robert B. Raffa and has published in prestigious journals such as Blood, PLoS ONE and Life Sciences.

In The Last Decade

Tamara Goode

22 papers receiving 1.2k citations

Hit Papers

Severe Toxicity in Nonhuman Primates and Piglets Followin... 2018 2026 2020 2023 2018 100 200 300 400 500

Peers

Tamara Goode
Comparison fields: 5 of 74
  • Molecular Biology 797
  • Genetics 742
  • Cellular and Molecular Neuroscience 202
  • Genetics 192
  • Physiology 188
Replace Curtis M. Chan with:
Curtis M. Chan United States
Cecilia Dyer United States
Caroline Le Guiner France
Bradley L. Hodges United States
Vinod Malik United States
Emily Nurre United States
Juliette Hordeaux United States
Boris Kantor United States
Scott McPhee United States
Haiyan Fu United States
Curtis M. Chan United States View profile →
Citations per field, relative to Tamara Goode
Tamara Goode · 1×
Citations per year, relative to Tamara Goode
Tamara Goode · 1×

Countries citing papers authored by Tamara Goode

Since Specialization
Citations

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

Fields of papers citing papers by Tamara Goode

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tamara Goode

This figure shows the co-authorship network connecting the top 25 collaborators of Tamara Goode. A scholar is included among the top collaborators of Tamara Goode 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 Tamara Goode. Tamara Goode 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 8
2 2
3 157
4 33
5 6
6 76
7 58
8 19
9
Severe Toxicity in Nonhuman Primates and Piglets Following High-Dose Intravenous Administration of an Adeno-Associated Virus Vector Expressing Human SMN breakdown →
561
10 13
11 98
12 16
13 39
14 76
15 6
16 16
17 16
18 1
19 8
20 11

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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