Neha Wali

2.8k total citations · 1 hit paper
13 papers, 908 citations indexed

About

Neha Wali is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Neha Wali has authored 13 papers receiving a total of 908 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Oncology and 4 papers in Immunology. Recurrent topics in Neha Wali's work include RNA modifications and cancer (4 papers), Congenital heart defects research (3 papers) and Immune cells in cancer (2 papers). Neha Wali is often cited by papers focused on RNA modifications and cancer (4 papers), Congenital heart defects research (3 papers) and Immune cells in cancer (2 papers). Neha Wali collaborates with scholars based in United Kingdom, United States and Netherlands. Neha Wali's co-authors include Derek L. Stemple, Elisabeth M. Busch‐Nentwich, Richard White, Christopher M. Dooley, Ian M. Sealy, Steven Harvey, Samantha Carruthers, Fredericus J. M. van Eeden, Amanda Hall and Edwin Cuppen and has published in prestigious journals such as Nature, The Journal of Immunology and Clinical Cancer Research.

In The Last Decade

Neha Wali

13 papers receiving 903 citations

Hit Papers

A systematic genome-wide analysis of zebrafish protein-co... 2013 2026 2017 2021 2013 100 200 300 400

Peers

Neha Wali
Comparison fields: 5 of 103
  • Molecular Biology 570
  • Cell Biology 264
  • Immunology 177
  • Genetics 125
  • Cancer Research 103
Replace Nicola Facchinello with:
Nicola Facchinello Italy
Ava J. Udvadia United States
Marcello Ziosi United States
Miki Takeuchi Japan
Emily K. Pugach United States
Clotilde Gimond France
Robert N. Wilkinson United Kingdom
Marc Amoyel United States
Vincent Heyer France
Jennifer N. Cech United States
Nicola Facchinello Italy View profile →
Citations per field, relative to Neha Wali
Neha Wali · 1×
Citations per year, relative to Neha Wali
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Countries citing papers authored by Neha Wali

Since Specialization
Citations

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

Fields of papers citing papers by Neha Wali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neha Wali

This figure shows the co-authorship network connecting the top 25 collaborators of Neha Wali. A scholar is included among the top collaborators of Neha Wali 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 Neha Wali. Neha Wali is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
# Work Indexed citations
1 5
2 2
3 14
4 2
5 25
6 15
7 43
8 220
9 8
10 94
11 21
12 14
13
A systematic genome-wide analysis of zebrafish protein-coding gene function breakdown →
445

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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