Neerav Shukla

12.3k total citations
78 papers, 1.7k citations indexed

About

Neerav Shukla is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Hematology. According to data from OpenAlex, Neerav Shukla has authored 78 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Pulmonary and Respiratory Medicine, 23 papers in Molecular Biology and 22 papers in Hematology. Recurrent topics in Neerav Shukla's work include Acute Myeloid Leukemia Research (17 papers), Sarcoma Diagnosis and Treatment (16 papers) and Acute Lymphoblastic Leukemia research (16 papers). Neerav Shukla is often cited by papers focused on Acute Myeloid Leukemia Research (17 papers), Sarcoma Diagnosis and Treatment (16 papers) and Acute Lymphoblastic Leukemia research (16 papers). Neerav Shukla collaborates with scholars based in United States, United Kingdom and Italy. Neerav Shukla's co-authors include Marc Ladanyi, Khédoudja Nafa, Jeffrey A. Toretsky, Rachel Kobos, Tsuyoshi Saito, Marick Laé, Makoto Nagai, Peter G. Steinherz, Gaël McGill and Masumi Tsuda and has published in prestigious journals such as Science, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Neerav Shukla

70 papers receiving 1.7k citations

Peers

Neerav Shukla
Comparison fields: 5 of 93
  • Molecular Biology 906
  • Pulmonary and Respiratory Medicine 603
  • Oncology 519
  • Cancer Research 395
  • Pathology and Forensic Medicine 261
Replace Charlotte H. Ahern with:
Charlotte H. Ahern United States
Peter Ho United States
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Angelo Agathanggelou United Kingdom
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Nicole Mentens Belgium
Lindsay Middelton United States
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Charlotte H. Ahern United States View profile →
Citations per field, relative to Neerav Shukla
Neerav Shukla · 1×
Citations per year, relative to Neerav Shukla
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Countries citing papers authored by Neerav Shukla

Since Specialization
Citations

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

Fields of papers citing papers by Neerav Shukla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neerav Shukla

This figure shows the co-authorship network connecting the top 25 collaborators of Neerav Shukla. A scholar is included among the top collaborators of Neerav Shukla 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 Neerav Shukla. Neerav Shukla 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 13
3 0
4 1
5 6
6 17
7 1
8 1
9 35
10 98
11 5
12 39
13 17
14 1
15 1
16 2
17 172
18 311
19 54
20 217

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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