Archana Thakur

3.8k total citations
128 papers, 2.9k citations indexed

About

Archana Thakur is a scholar working on Oncology, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Archana Thakur has authored 128 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Oncology, 61 papers in Immunology and 32 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Archana Thakur's work include CAR-T cell therapy research (46 papers), Monoclonal and Polyclonal Antibodies Research (30 papers) and Immunotherapy and Immune Responses (26 papers). Archana Thakur is often cited by papers focused on CAR-T cell therapy research (46 papers), Monoclonal and Polyclonal Antibodies Research (30 papers) and Immunotherapy and Immune Responses (26 papers). Archana Thakur collaborates with scholars based in United States, Australia and India. Archana Thakur's co-authors include Lawrence G. Lum, Mark Willcox, Aliccia Bollig‐Fischer, Fazlul H. Sarkar, Hector Biliran, Meilang Xue, D. Joshua Liao, Jack Wu, Manley Huang and Dana L. Schalk and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Archana Thakur

126 papers receiving 2.9k citations

Peers

Archana Thakur
Comparison fields: 5 of 124
  • Oncology 1.2k
  • Molecular Biology 1.2k
  • Immunology 947
  • Radiology, Nuclear Medicine and Imaging 670
  • Cancer Research 362
Replace Marina Fabbi with:
Marina Fabbi Italy
Anjali Mishra United States
Christopher R. Shea United States
Jasbir Kaur India
David Berd United States
Mong‐Lien Wang Taiwan
Nicolas Moniaux United States
Yuji Heike Japan
Antoine Dufour Canada
Jacques Bara France
Marina Fabbi Italy View profile →
Citations per field, relative to Archana Thakur
Archana Thakur · 1×
Citations per year, relative to Archana Thakur
Archana Thakur · 1×

Countries citing papers authored by Archana Thakur

Since Specialization
Citations

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

Fields of papers citing papers by Archana Thakur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Archana Thakur

This figure shows the co-authorship network connecting the top 25 collaborators of Archana Thakur. A scholar is included among the top collaborators of Archana Thakur 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 Archana Thakur. Archana Thakur 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 3
2 3
3 0
4 21
5 13
6 30
7 14
8 60
9 87
10 61
11
The Predominant Proteins that React to the MC-20 Estrogen Receptor Alpha Antibody Differ in Molecular Weight between the Mammary Gland and Uterus in the Mouse and Rat.
14
12 12
13 15
14 1
15 36
16 44
17 8
18 12
19
Further Studies of P. aeruginosa Corneal Infection in Caspase-1 Deficient Mice
1
20 39

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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