Udit Basak

442 total citations · 1 hit paper
17 papers, 297 citations indexed

About

Udit Basak is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Udit Basak has authored 17 papers receiving a total of 297 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oncology, 9 papers in Immunology and 5 papers in Molecular Biology. Recurrent topics in Udit Basak's work include Immune Cell Function and Interaction (5 papers), Cancer Cells and Metastasis (4 papers) and Immunotherapy and Immune Responses (3 papers). Udit Basak is often cited by papers focused on Immune Cell Function and Interaction (5 papers), Cancer Cells and Metastasis (4 papers) and Immunotherapy and Immune Responses (3 papers). Udit Basak collaborates with scholars based in India and United States. Udit Basak's co-authors include Gaurisankar Sa, Sourio Chakraborty, Tanya Das, Tania Sarkar, Debadatta Nayak, Kuladip Jana, Diptendra Kumar Sarkar, Poulami Khan, Irene Sarkar and Abir K. Panda and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Free Radical Biology and Medicine.

In The Last Decade

Udit Basak

15 papers receiving 296 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Tumor-associated macrophages: an effective player of the tumor microenvironment

2023 151 citations Udit Basak, Tania Sarkar et al. Frontiers in Immunology profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Udit Basak India	7	164	112	109	42	24	17	297
Sourio Chakraborty India	6	148 0.9×	105 0.9×	95 0.9×	40 1.0×	20 0.8×	16	269
Maria Muccioli United States	10	205 1.3×	114 1.0×	109 1.0×	40 1.0×	25 1.0×	19	337
An-Kang Hu China	3	120 0.7×	73 0.7×	86 0.8×	41 1.0×	44 1.8×	3	254
Katharina Wartha Switzerland	5	164 1.0×	105 0.9×	124 1.1×	22 0.5×	26 1.1×	7	276
Felix L. Fennemann Netherlands	5	225 1.4×	118 1.1×	157 1.4×	50 1.2×	41 1.7×	7	355
Ellen Scott United States	5	170 1.0×	94 0.8×	183 1.7×	47 1.1×	24 1.0×	6	299
Yvonne Welte Germany	5	89 0.5×	136 1.2×	157 1.4×	54 1.3×	21 0.9×	6	250
Charlotte Rowan Switzerland	2	276 1.7×	138 1.2×	183 1.7×	73 1.7×	48 2.0×	2	403
Daniel E. Oyon United States	5	153 0.9×	66 0.6×	123 1.1×	32 0.8×	27 1.1×	11	283
Marnix H. P. de Groot Netherlands	4	209 1.3×	75 0.7×	106 1.0×	31 0.7×	33 1.4×	5	299

Countries citing papers authored by Udit Basak

Since Specialization

Citations

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

Fields of papers citing papers by Udit Basak

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Udit Basak

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

All Works

Sort: Min cites: Since: Top N: Style:

17 of 17 papers shown

Chakraborty, Sourio, et al.. (2025). Cancer Stem Cells Decide the Fate of Cancer Immunotherapy by Remodeling Tumor Microenvironment. Cancer Control. 32. 2935799489–2935799489. 1 indexed citations

Basak, Udit, et al.. (2025). The Role of Nuclear Factor-κB in Cancer Immunity and Immunoediting. Cancer Control. 32. 2935824725–2935824725.

Basak, Udit, et al.. (2025). In-silico analysis unveiling the role of cancer stem cells in immunotherapy resistance of immune checkpoint-high pancreatic adenocarcinoma. Scientific Reports. 15(1). 10355–10355. 2 indexed citations

Chakraborty, Sourio, et al.. (2025). Tumor-infiltrating lymphocytes and tumor-associated macrophages in cancer immunoediting: a targetable therapeutic axis. Frontiers in Immunology. 16. 1655176–1655176.

Basak, Udit, Sourio Chakraborty, Poulami Khan, et al.. (2025). Breast cancer stem cells convert anti-tumor CD4+ T cells to pro-tumor T regulatory cells: Potential role of exosomal FOXP3. Cellular Immunology. 409-410. 104931–104931. 5 indexed citations

Chakraborty, Sourio, Udit Basak, Deblina Guha, et al.. (2025). hsa-miR-5688 inhibits FOXC1-OCT4/SOX2 feedforward loop that drives chemoresistance in breast cancer stem cells. PubMed. 33(2). 200982–200982. 1 indexed citations

Chakraborty, Sourio, et al.. (2024). Nuclear factor kappa-B: The El Dorado of inflammatory immune response. 3(1). 6–19. 3 indexed citations

Chakraborty, Sourio, et al.. (2023). Immune evasion by cancer stem cells ensures tumor initiation and failure of immunotherapy. SHILAP Revista de lepidopterología. 384–405. 6 indexed citations

Basak, Udit, Tania Sarkar, Sourio Chakraborty, et al.. (2023). Tumor-associated macrophages: an effective player of the tumor microenvironment. Frontiers in Immunology. 14. 1295257–1295257. 151 indexed citations breakdown →

10.

Chakraborty, Sourio, et al.. (2023). Breast cancer stem cells generate immune-suppressive T regulatory cells by secreting TGFβ to evade immune-elimination. Discover Oncology. 14(1). 220–220. 15 indexed citations

11.

Sarkar, Tania, Sayantan Bose, Abir K. Panda, et al.. (2022). FOXP3/HAT1 Axis Controls Treg Infiltration in the Tumor Microenvironment by Inducing CCR4 Expression in Breast Cancer. Frontiers in Immunology. 13. 740588–740588. 45 indexed citations

12.

Mukherjee, Shravanti, Poulami Khan, Debomita Sengupta, et al.. (2020). SMAR1 repression by pluripotency factors and consequent chemoresistance in breast cancer stem-like cells is reversed by aspirin. Science Signaling. 13(654). 22 indexed citations

13.

Mukherjee, Shravanti, Udit Basak, Sourio Chakraborty, et al.. (2020). Pyridoxine enhances chemo-responsiveness of breast cancer stem cells via redox reconditioning. Free Radical Biology and Medicine. 152. 152–165. 13 indexed citations

14.

Sarkar, Irene, et al.. (2019). T-memory cells against cancer: Remembering the enemy. Cellular Immunology. 338. 27–31. 22 indexed citations

15.

Basak, Udit, Sourio Chakraborty, Debomita Sengupta, et al.. (2019). Cancer stem cell fate determination: a nuclear phenomenon. The Nucleus. 62(2). 109–118. 2 indexed citations

16.

Basak, Udit, et al.. (2017). Cancer stem cells, their origin and niche: A search for the therapeutic target. 2(1). 4 indexed citations

17.

Basak, Udit, Dipendra Kumar Mitra, Sandeep Guleria, et al.. (2003). Clinical relevance of monitoring cytokine production following living donor renal transplantation. Transplantation Proceedings. 35(1). 404–406. 5 indexed citations

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.

Explore authors with similar magnitude of impact