Alokkumar Jha

2.7k total citations
23 papers, 220 citations indexed

About

Alokkumar Jha is a scholar working on Molecular Biology, Immunology and Surgery. According to data from OpenAlex, Alokkumar Jha has authored 23 papers receiving a total of 220 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Immunology and 3 papers in Surgery. Recurrent topics in Alokkumar Jha's work include Bioinformatics and Genomic Networks (4 papers), Gene expression and cancer classification (4 papers) and Semantic Web and Ontologies (3 papers). Alokkumar Jha is often cited by papers focused on Bioinformatics and Genomic Networks (4 papers), Gene expression and cancer classification (4 papers) and Semantic Web and Ontologies (3 papers). Alokkumar Jha collaborates with scholars based in United States, Ireland and United Kingdom. Alokkumar Jha's co-authors include Shailendra Giri, Ashok Kumar, Pawan Kumar Singh, Joveeta Joseph, Sukhvinder Singh, Dietrich Rebholz‐Schuhmann, Qaiser Mehmood, Indu Khatri, Manoj Bhasin and Mathieu d’Aquin and has published in prestigious journals such as Nature Communications, Blood and The Journal of Immunology.

In The Last Decade

Alokkumar Jha

22 papers receiving 211 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alokkumar Jha United States	9	67	33	33	26	26	23	220
Arvind Gupta India	9	50 0.7×	50 1.5×	40 1.2×	10 0.4×	9 0.3×	47	267
Shu Yan China	12	50 0.7×	29 0.9×	21 0.6×	25 1.0×	11 0.4×	28	336
Saifun Nahar Japan	11	78 1.2×	9 0.3×	20 0.6×	23 0.9×	48 1.8×	38	371
Yike Jiang United States	9	121 1.8×	22 0.7×	50 1.5×	20 0.8×	105 4.0×	15	445
Mahmoud Dahdouli United States	5	145 2.2×	11 0.3×	10 0.3×	13 0.5×	13 0.5×	6	246
Yuya Koda Japan	9	23 0.3×	16 0.5×	22 0.7×	27 1.0×	11 0.4×	78	330
Jin-Soo Kim South Korea	14	70 1.0×	18 0.5×	36 1.1×	99 3.8×	14 0.5×	58	521
Shaowu Tang United States	8	143 2.1×	33 1.0×	18 0.5×	55 2.1×	14 0.5×	11	304
Pablo Serrano Balazote Spain	12	53 0.8×	26 0.8×	9 0.3×	20 0.8×	59 2.3×	38	344
Dongli Ma China	9	106 1.6×	20 0.6×	33 1.0×	31 1.2×	29 1.1×	20	316

Countries citing papers authored by Alokkumar Jha

Since Specialization

Citations

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

Fields of papers citing papers by Alokkumar Jha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alokkumar Jha

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

All Works

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20 of 20 papers shown

Datta, Indrani, Alokkumar Jha, Arushi Arora, et al.. (2024). 1215P United Kingdom (UK) real world study of adjuvant osimertinib in resected EGFR mutated lung cancer. Annals of Oncology. 35. S782–S783. 1 indexed citations

Zafar, Mohammad A., Deqiong Ma, Hui Zhang, et al.. (2024). Somatic Variants Acquired Later in Life Associated with Thoracic Aortic Aneurysms: JAK2 V617F. Genes. 15(7). 883–883.

Lin, Derrick T., Anthos Christofides, Etienne Léveillé, et al.. (2024). Clonal hematopoiesis of indeterminate potential is associated with increased risk of immune checkpoint inhibitor myocarditis in a prospective study of a cardio-oncology cohort. Cardio-Oncology. 10(1). 84–84. 5 indexed citations

Metwally, Ahmed A., Dalia Perelman, Yue Wu, et al.. (2024). Prediction of metabolic subphenotypes of type 2 diabetes via continuous glucose monitoring and machine learning. Nature Biomedical Engineering. 9(8). 1222–1239. 10 indexed citations

Yang, Phillip C., et al.. (2023). Cloud-Based Machine Learning Platform to Predict Clinical Outcomes at Home for Patients With Cardiovascular Conditions Discharged From Hospital: Clinical Trial. JMIR Cardio. 8. e45130–e45130. 3 indexed citations

Lau, Hwee Hui, Nicole A. J. Krentz, Fernando Abaitua, et al.. (2023). PAX4 loss of function increases diabetes risk by altering human pancreatic endocrine cell development. Nature Communications. 14(1). 6119–6119. 17 indexed citations

Alghamdi, Tamadher A., Nicole A. J. Krentz, Nancy Smith, et al.. (2022). Zmiz1 is required for mature β-cell function and mass expansion upon high fat feeding. Molecular Metabolism. 66. 101621–101621. 8 indexed citations

Higdon, Lauren E., Steven Schaffert, Huang Huang, et al.. (2021). Evolution of Cytomegalovirus-Responsive T Cell Clonality following Solid Organ Transplantation. The Journal of Immunology. 207(8). 2077–2085. 8 indexed citations

Singh, Sukhvinder, Pawan Kumar Singh, Alokkumar Jha, et al.. (2021). Integrative metabolomics and transcriptomics identifies itaconate as an adjunct therapy to treat ocular bacterial infection. Cell Reports Medicine. 2(5). 100277–100277. 39 indexed citations

10.

Haddad, François, Kévin Contrepois, Myriam Amsallem, et al.. (2021). The Right Heart Network and Risk Stratification in Pulmonary Arterial Hypertension. CHEST Journal. 161(5). 1347–1359. 15 indexed citations

11.

Mehmood, Qaiser, Muhammad Saleem, Alokkumar Jha, & Mathieu d’Aquin. (2021). Efficient distributed path computation on RDF knowledge graphs using partial evaluation. World Wide Web. 25(2). 1005–1036. 3 indexed citations

12.

Rubinstein, Samuel M., Ryan C. Lynch, Aakash Desai, et al.. (2020). Severity of Sars-Cov-2 Infection in Patients with Hematologic Malignancies: A COVID-19 and Cancer Consortium (CCC19) Registry Analysis. Blood. 136(Supplement 1). 28–30. 7 indexed citations

13.

Zimmermann, Antoine, et al.. (2019). One Size Does Not Fit All: Querying Web Polystores. IEEE Access. 7. 9598–9617. 19 indexed citations

14.

Unno, Kazumasa, Angelos Oikonomopoulos, Yusuke Fujikawa, et al.. (2019). Alteration in ventricular pressure stimulates cardiac repair and remodeling. Journal of Molecular and Cellular Cardiology. 133. 174–187. 5 indexed citations

15.

Jha, Alokkumar, et al.. (2019). A Cancer Genomics Data Space within the Linked Open Data (LOD) Cloud.. 31–39. 1 indexed citations

16.

Jha, Alokkumar, Mathieu d’Aquin, Seema Dangwal, et al.. (2019). GenomicsKG: A Knowledge Graph to Visualize Poly-Omics Data. 1(2). 70–84. 2 indexed citations

17.

Singh, Pawan Kumar, Indu Khatri, Alokkumar Jha, et al.. (2018). Determination of system level alterations in host transcriptome due to Zika virus (ZIKV) Infection in retinal pigment epithelium. Scientific Reports. 8(1). 11209–11209. 37 indexed citations

18.

Jha, Alokkumar, et al.. (2017). Towards precision medicine: discovering novel gynecological cancer biomarkers and pathways using linked data. Journal of Biomedical Semantics. 8(1). 40–40. 16 indexed citations

19.

Zimmermann, Antoine, et al.. (2017). Querying web polystores. ARAN (University of Galway Research Repository) (Ollscoil na Gaillimhe – University of Galway). 3190–3195. 5 indexed citations

20.

Jha, Alokkumar, et al.. (2015). Linked functional annotation for differentially expressed gene (DEG) demonstrated using Illumina Body Map 2.0. ARAN (University of Galway Research Repository) (Ollscoil na Gaillimhe – University of Galway). 23–32. 3 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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