Neeta Pandit‐Taskar

9.7k citations
215 papers · 6.0k indexed · h-index 44
Topics
Radiopharmaceutical Chemistry and Applications (100 papers)Prostate Cancer Treatment and Research (45 papers)Neuroblastoma Research and Treatments (35 papers)
Journals
Journal of Clinical OncologySHILAP Revista de lepidopterologíaBlood

In The Last Decade

Neeta Pandit‐Taskar

209 papers receiving 5.9k citations

Peers

Neeta Pandit‐Taskar
Comparison fields: 5 of 118
  • Radiology, Nuclear Medicine and Imaging 2.8k
  • Oncology 2.2k
  • Pulmonary and Respiratory Medicine 1.7k
  • Molecular Biology 878
  • Surgery 850
Replace Lale Umutlu with:
Lale Umutlu Germany
Paolo Castellucci Italy
Anne Kiil Berthelsen Denmark
Heather A. Jacene United States
Lale Kostakoğlu United States
Norbert Avril United States
J. Lumbroso France
E. Touboul France
Maria Picchio Italy
Jun Itami Japan
Neeta Pandit‐Taskar relative to Lale Umutlu Germany Lale Umutlu's profile →
Citations per field
00.5×4.9×
Lale Umutlu · 1×
Citations per year

Countries citing papers authored by Neeta Pandit‐Taskar

Since Specialization
Citations

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

Fields of papers citing papers by Neeta Pandit‐Taskar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Neeta Pandit‐Taskar. 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 Neeta Pandit‐Taskar. The network helps show where Neeta Pandit‐Taskar may publish in the future.

Co-authorship network of co-authors of Neeta Pandit‐Taskar

This figure shows the co-authorship network connecting the top 25 collaborators of Neeta Pandit‐Taskar. A scholar is included among the top collaborators of Neeta Pandit‐Taskar 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 Neeta Pandit‐Taskar. Neeta Pandit‐Taskar 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
#WorkIndexed citations
1 17
2 2
3 11
4 14
5 2
6 11
7 31
8 19
9 11
10 2
11 80
12 53
13 48
14 71
15 20
16 33
17 86
18 57
19 24
20 102

About Neeta Pandit‐Taskar

Neeta Pandit‐Taskar is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Pulmonary and Respiratory Medicine, having authored 215 papers that have together received 6.0k indexed citations. Recurring topics across this work include Radiopharmaceutical Chemistry and Applications (100 papers), Prostate Cancer Treatment and Research (45 papers) and Neuroblastoma Research and Treatments (35 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (2.8k citations), Oncology (2.2k citations) and Pulmonary and Respiratory Medicine (1.7k citations). Neeta Pandit‐Taskar has collaborated with scholars based in United States, France and Australia. Frequent co-authors include Steven M. Larson, Jorge A. Carrasquillo, Chaitanya Divgi, Joseph A. O’Donoghue, Michael J. Morris, Pat Zanzonico, John L. Humm, Shakeel Modak, Jason S. Lewis and Serge K. Lyashchenko. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

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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