Neha Rohatgi

539 total citations
11 papers, 320 citations indexed

About

Neha Rohatgi is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Neha Rohatgi has authored 11 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Oncology and 3 papers in Immunology. Recurrent topics in Neha Rohatgi's work include Immune cells in cancer (3 papers), Cancer Cells and Metastasis (3 papers) and Microbial Metabolic Engineering and Bioproduction (2 papers). Neha Rohatgi is often cited by papers focused on Immune cells in cancer (3 papers), Cancer Cells and Metastasis (3 papers) and Microbial Metabolic Engineering and Bioproduction (2 papers). Neha Rohatgi collaborates with scholars based in Singapore, Iceland and United States. Neha Rohatgi's co-authors include Óttar Rolfsson, Steinn Guðmundsson, Anders J. Skanderup, Þórarinn Guðjónsson, Kumari Sonal Choudhary, Skarphéðinn Halldórsson, Umesh Ghoshdastider, Anders H. Lund, Michał Lubas and Lea Mørch Harder and has published in prestigious journals such as Nature Communications, PLoS ONE and Cancer Research.

In The Last Decade

Neha Rohatgi

10 papers receiving 317 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Neha Rohatgi Singapore	9	192	108	92	56	31	11	320
Nitu Bansal United States	11	179 0.9×	66 0.6×	130 1.4×	85 1.5×	46 1.5×	15	358
Nicholas J. Mullen United States	5	237 1.2×	103 1.0×	45 0.5×	37 0.7×	29 0.9×	9	322
Loukia Georgiou Karacosta United States	6	257 1.3×	113 1.0×	134 1.5×	22 0.4×	46 1.5×	12	367
Elisa Ferrari Italy	7	268 1.4×	117 1.1×	89 1.0×	82 1.5×	21 0.7×	9	431
Guangyu Liu China	11	108 0.6×	174 1.6×	91 1.0×	29 0.5×	35 1.1×	20	401
Lanya Li China	7	285 1.5×	79 0.7×	132 1.4×	38 0.7×	45 1.5×	12	433
Youxiang Mao China	6	185 1.0×	129 1.2×	56 0.6×	74 1.3×	22 0.7×	7	332
Moloy T. Goswami United States	10	352 1.8×	192 1.8×	88 1.0×	51 0.9×	78 2.5×	20	490
Dianheng Wang China	9	130 0.7×	75 0.7×	61 0.7×	76 1.4×	17 0.5×	11	279

Countries citing papers authored by Neha Rohatgi

Since Specialization

Citations

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

Fields of papers citing papers by Neha Rohatgi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neha Rohatgi

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

All Works

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11 of 11 papers shown

Newton, Kim, Katherine E. Wickliffe, Allie Maltzman, et al.. (2025). cFLIP suppresses caspase-1- and MLKL-independent perinatal lethality driven by auto-processing impaired caspase-8 D387A. Cell Death and Differentiation.

Rohatgi, Neha, et al.. (2024). Seed sequences mediate off-target activity in the CRISPR-interference system. Cell Genomics. 4(11). 100693–100693. 4 indexed citations

Jacoberger-Foissac, Célia, Isabelle Cousineau, Yacine Barèche, et al.. (2022). CD73 Inhibits cGAS–STING and Cooperates with CD39 to Promote Pancreatic Cancer. Cancer Immunology Research. 11(1). 56–71. 46 indexed citations

Rohatgi, Neha, et al.. (2022). A pan-cancer metabolic atlas of the tumor microenvironment. Cell Reports. 39(6). 110800–110800. 27 indexed citations

Ghoshdastider, Umesh, Neha Rohatgi, Marjan Mojtabavi Naeini, et al.. (2021). Pan-Cancer Analysis of Ligand–Receptor Cross-talk in the Tumor Microenvironment. Cancer Research. 81(7). 1802–1812. 48 indexed citations

Montes, Marta, Michał Lubas, Neha Rohatgi, et al.. (2021). The long non-coding RNA MIR31HG regulates the senescence associated secretory phenotype. Nature Communications. 12(1). 2459–2459. 51 indexed citations

Low, Joo-Leng, Dawn Pingxi Lau, Xiaoqian Zhang, et al.. (2021). A chemical genetic screen identifies Aurora kinases as a therapeutic target in EGFR T790M negative, gefitinib-resistant head and neck squamous cell carcinoma (HNSCC). EBioMedicine. 64. 103220–103220. 13 indexed citations

Halldórsson, Skarphéðinn, Neha Rohatgi, Manuela Magnúsdóttir, et al.. (2017). Metabolic re-wiring of isogenic breast epithelial cell lines following epithelial to mesenchymal transition. Cancer Letters. 396. 117–129. 47 indexed citations

Choudhary, Kumari Sonal, Neha Rohatgi, Skarphéðinn Halldórsson, et al.. (2016). EGFR Signal-Network Reconstruction Demonstrates Metabolic Crosstalk in EMT. PLoS Computational Biology. 12(6). e1004924–e1004924. 38 indexed citations

10.

Rohatgi, Neha, Steinn Guðmundsson, & Óttar Rolfsson. (2015). Kinetic analysis of gluconate phosphorylation by human gluconokinase using isothermal titration calorimetry. FEBS Letters. 589(23). 3548–3555. 17 indexed citations

11.

Rohatgi, Neha, Tine Nielsen, Sara Petersen Bjørn, et al.. (2014). Biochemical Characterization of Human Gluconokinase and the Proposed Metabolic Impact of Gluconic Acid as Determined by Constraint Based Metabolic Network Analysis. PLoS ONE. 9(6). e98760–e98760. 29 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.

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