Niraja Dighe

492 total citations
8 papers, 153 citations indexed

About

Niraja Dighe is a scholar working on Molecular Biology, Hematology and Genetics. According to data from OpenAlex, Niraja Dighe has authored 8 papers receiving a total of 153 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Hematology and 3 papers in Genetics. Recurrent topics in Niraja Dighe's work include Virus-based gene therapy research (3 papers), CRISPR and Genetic Engineering (2 papers) and Immune cells in cancer (2 papers). Niraja Dighe is often cited by papers focused on Virus-based gene therapy research (3 papers), CRISPR and Genetic Engineering (2 papers) and Immune cells in cancer (2 papers). Niraja Dighe collaborates with scholars based in Singapore, United Kingdom and United States. Niraja Dighe's co-authors include Sudipto Bari, William Ying Khee Hwang, Xiubo Fan, Zhiyong Poon, Sujoy Ghosh, Alice M.S. Cheung, Citra Nurfarah Zaini Mattar, Mahesh Choolani, Michael Antoniou and Simon N. Waddington and has published in prestigious journals such as PLoS ONE, Molecular Therapy and Leukemia.

In The Last Decade

Niraja Dighe

7 papers receiving 152 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Niraja Dighe Singapore	5	83	64	63	48	24	8	153
Annamaria Aprile Italy	7	50 0.6×	89 1.4×	80 1.3×	49 1.0×	13 0.5×	15	169
Karen Backer United States	5	64 0.8×	139 2.2×	49 0.8×	47 1.0×	26 1.1×	6	232
Rita Consolini Italy	3	56 0.7×	55 0.9×	24 0.4×	65 1.4×	53 2.2×	5	196
Sushree Sangita Sahoo United States	6	91 1.1×	35 0.5×	39 0.6×	40 0.8×	37 1.5×	13	136
M. Akif Yeşilipek Türkiye	9	88 1.1×	23 0.4×	91 1.4×	26 0.5×	12 0.5×	22	176
Pasit Phiasivongsa United States	4	50 0.6×	176 2.8×	29 0.5×	18 0.4×	16 0.7×	6	214
Tiffani Taylor United States	6	132 1.6×	61 1.0×	166 2.6×	37 0.8×	30 1.3×	12	268
Tiziana Galluccio Italy	6	84 1.0×	55 0.9×	66 1.0×	52 1.1×	115 4.8×	39	260
Avraam Elia Cyprus	7	59 0.7×	102 1.6×	45 0.7×	39 0.8×	14 0.6×	10	235
Boonchai Boonyawat Thailand	8	140 1.7×	32 0.5×	64 1.0×	30 0.6×	44 1.8×	22	226

Countries citing papers authored by Niraja Dighe

Since Specialization

Citations

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

Fields of papers citing papers by Niraja Dighe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Niraja Dighe

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

All Works

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8 of 8 papers shown

Poon, Zhiyong, Niraja Dighe, Alice M.S. Cheung, et al.. (2019). Correction: Bone marrow MSCs in MDS: contribution towards dysfunctional hematopoiesis and potential targets for disease response to hypomethylating therapy. Leukemia. 33(6). 1542–1542. 4 indexed citations

Poon, Zhiyong, Niraja Dighe, Alice M.S. Cheung, et al.. (2018). Bone marrow MSCs in MDS: contribution towards dysfunctional hematopoiesis and potential targets for disease response to hypomethylating therapy. Leukemia. 33(6). 1487–1500. 54 indexed citations

Dighe, Niraja, Kang Wei Tan, Suzanne M. K. Buckley, et al.. (2018). A comparison of intrauterine hemopoietic cell transplantation and lentiviral gene transfer for the correction of severe β-thalassemia in a HbbTh3/+ murine model. Experimental Hematology. 62. 45–55. 10 indexed citations

Bari, Sudipto, Xiubo Fan, Zhiyong Poon, et al.. (2018). Ex Vivo Expansion of SCID-Repopulating CD34+CD90+CD49f+Hematopoietic Stem & Progenitor Cells From Non-Enriched Human Umbilical Cord Blood with Novel Azole-Based Small Molecules. Biology of Blood and Marrow Transplantation. 24(3). S189–S189. 1 indexed citations

Bari, Sudipto, Xiubo Fan, Zhiyong Poon, et al.. (2018). Ex Vivo Expansion of CD34+CD90+CD49f+ Hematopoietic Stem and Progenitor Cells from Non-Enriched Umbilical Cord Blood with Azole Compounds. Stem Cells Translational Medicine. 7(5). 376–393. 25 indexed citations

Dighe, Niraja, Maroun Khoury, Citra Nurfarah Zaini Mattar, et al.. (2014). Long-Term Reproducible Expression in Human Fetal Liver Hematopoietic Stem Cells with a UCOE-Based Lentiviral Vector. PLoS ONE. 9(8). e104805–e104805. 15 indexed citations

Mattar, Citra Nurfarah Zaini, Amit C. Nathwani, Simon N. Waddington, et al.. (2011). Stable Human FIX Expression After 0.9G Intrauterine Gene Transfer of Self-complementary Adeno-associated Viral Vector 5 and 8 in Macaques. Molecular Therapy. 19(11). 1950–1960. 44 indexed citations

Themis, Michael, Simon N. Waddington, Manfred Schmidt, et al.. (2006). Oncogenesis following delivery of a nonprimate lentiviral gene therapy vector to fetal and neonatal mice (vol 12, pg 763, 2005). UCL Discovery (University College London).

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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