Shuba Krishna

621 total citations
9 papers, 121 citations indexed

About

Shuba Krishna is a scholar working on Molecular Biology, Cancer Research and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Shuba Krishna has authored 9 papers receiving a total of 121 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Cancer Research and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Shuba Krishna's work include Cancer Genomics and Diagnostics (5 papers), Genomics and Rare Diseases (3 papers) and Retinal Development and Disorders (3 papers). Shuba Krishna is often cited by papers focused on Cancer Genomics and Diagnostics (5 papers), Genomics and Rare Diseases (3 papers) and Retinal Development and Disorders (3 papers). Shuba Krishna collaborates with scholars based in United States, India and Canada. Shuba Krishna's co-authors include Ann F. Chambers, David T. Denhardt, Susan R. Rittling, Srilatha Raghuram, Ravi P. Kiran, Ramesh Hariharan, Vedam L. Ramprasad, Govindasamy Kumaramanickavel, Nallathambi Jeyabalan and Rajani Battu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer Research and BioMed Research International.

In The Last Decade

Shuba Krishna

6 papers receiving 116 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shuba Krishna United States	4	86	60	22	19	17	9	121
Luís Alexandre Rassi Gabriel United States	6	74 0.9×	16 0.3×	64 2.9×	9 0.5×	12 0.7×	9	173
Mukundhan Ramaswami United States	4	108 1.3×	18 0.3×	28 1.3×	15 0.8×	12 0.7×	6	139
Aimée L Fenwick United Kingdom	10	166 1.9×	15 0.3×	134 6.1×	36 1.9×	9 0.5×	11	286
Kati Tarkkonen Finland	8	158 1.8×	18 0.3×	24 1.1×	47 2.5×	13 0.8×	11	199
Samuel J. Shelton United States	5	167 1.9×	14 0.2×	9 0.4×	48 2.5×	137 8.1×	6	255
Meenal Chalukya United States	7	70 0.8×	33 0.6×	35 1.6×	17 0.9×	16 0.9×	13	205
H.‐J. Lüdecke Germany	8	180 2.1×	42 0.7×	166 7.5×	15 0.8×	7 0.4×	12	279
Vijayalakshmi Shridhar United States	6	62 0.7×	30 0.5×	12 0.5×	10 0.5×	28 1.6×	13	118
Dominik Mestel Germany	6	97 1.1×	10 0.2×	16 0.7×	49 2.6×	27 1.6×	8	176
Angel Ka Yan Chu United States	4	69 0.8×	14 0.2×	9 0.4×	33 1.7×	12 0.7×	8	113

Countries citing papers authored by Shuba Krishna

Since Specialization

Citations

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

Fields of papers citing papers by Shuba Krishna

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuba Krishna

This figure shows the co-authorship network connecting the top 25 collaborators of Shuba Krishna. A scholar is included among the top collaborators of Shuba Krishna 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 Shuba Krishna. Shuba Krishna 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:

9 of 9 papers shown

Love, Tara M., Lara E. Sucheston‐Campbell, Michael Clark, et al.. (2024). Comparing Classifications from Multiple Variant Annotation Software Solutions Using Real-World Next Generation Sequencing Data from Oncology Testing. SHILAP Revista de lepidopterología. 5(1). 81–95.

Li, Jian, et al.. (2021). Abstract 169: Ephesus - A curated content knowledgebase for the clinical interpretation of genomic variants. Cancer Research. 81(13_Supplement). 169–169. 1 indexed citations

Yaung, Stephanie J., et al.. (2021). Abstract 249: Comparison of variant classification between molecular diagnostics experts and decision support software. Cancer Research. 81(13_Supplement). 249–249. 1 indexed citations

Yaung, Stephanie J., et al.. (2020). Assessment of a Highly Curated Somatic Oncology Database to Aid in the Interpretation of Clinically Important Variants in Next-Generation Sequencing Results. Journal of Molecular Diagnostics. 22(11). 1356–1366. 3 indexed citations

Scudder, Sidney, et al.. (2020). Abstract 5456: Clinical validation of NAVIFY® Mutation Profiler for solid tumor NGS variant interpretation. Cancer Research. 80(16_Supplement). 5456–5456. 2 indexed citations

Mannan, Ashraf U., et al.. (2017). Clinical and genetic analysis of Indian patients with NDP-related retinopathies. International Ophthalmology. 38(3). 1251–1260. 4 indexed citations

Patric, Irene Rosita Pia, et al.. (2016). Genetic studies in a patient with X-linked retinoschisis coexisting with developmental delay and sensorineural hearing loss. Ophthalmic Genetics. 38(3). 260–266. 5 indexed citations

Battu, Rajani, Ramesh Hariharan, Shuba Krishna, et al.. (2015). Identification of Novel Mutations inABCA4Gene: Clinical and Genetic Analysis of Indian Patients with Stargardt Disease. BioMed Research International. 2015. 1–10. 19 indexed citations

Denhardt, David T., et al.. (2003). Transcriptional regulation of osteopontin and the metastatic phenotype: Evidence for a Ras-activated enhancer in the human OPN promoter. Clinical & Experimental Metastasis. 20(1). 77–84. 86 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