Nava Segev

13.8k total citations · 1 hit paper
66 papers, 4.1k citations indexed

About

Nava Segev is a scholar working on Cell Biology, Molecular Biology and Epidemiology. According to data from OpenAlex, Nava Segev has authored 66 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Cell Biology, 41 papers in Molecular Biology and 13 papers in Epidemiology. Recurrent topics in Nava Segev's work include Cellular transport and secretion (51 papers), Endoplasmic Reticulum Stress and Disease (29 papers) and Fungal and yeast genetics research (23 papers). Nava Segev is often cited by papers focused on Cellular transport and secretion (51 papers), Endoplasmic Reticulum Stress and Disease (29 papers) and Fungal and yeast genetics research (23 papers). Nava Segev collaborates with scholars based in United States, China and Israel. Nava Segev's co-authors include David Botstein, Jon Mulholland, Zhanna Lipatova, Gregory Jedd, Sara Jones, Alex Franzusoff, Fengli Liu, Randal Cox, Daphne Preuss and Andrei A. Tokarev and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Nava Segev

65 papers receiving 4.0k citations

Hit Papers

The yeast GTP-binding YPT1 protein and a mammalian counte... 1988 2026 2000 2013 1988 200 400 600

Peers

Nava Segev
Comparison fields: 5 of 94
  • Cell Biology 3.2k
  • Molecular Biology 2.9k
  • Epidemiology 571
  • Physiology 379
  • Physiology 337
Replace Jennifer Hirst with:
Jennifer Hirst United Kingdom
David J. Gillooly Norway
R. Claudio Aguilar United States
Jeffrey E. Gerst Israel
T E Kreis Germany
Mark A. Stamnes United States
Marino Zerial Germany
Joel H. Rothman United States
Sandra K. Lemmon United States
Susan Ferro‐Novick United States
Jennifer Hirst United Kingdom View profile →
Citations per field, relative to Nava Segev
Nava Segev · 1×
Citations per year, relative to Nava Segev
Nava Segev · 1×

Countries citing papers authored by Nava Segev

Since Specialization
Citations

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

Fields of papers citing papers by Nava Segev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nava Segev

This figure shows the co-authorship network connecting the top 25 collaborators of Nava Segev. A scholar is included among the top collaborators of Nava Segev 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 Nava Segev. Nava Segev 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 0
2 2
3 1
4 15
5 45
6 24
7 1
8 26
9 39
10 1
11 1
12 34
13 96
14 39
15 50
16 127
17 79
18 254
19 171
20 41

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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