Sravya Kommineni

2.1k total citations · 1 hit paper
5 papers, 1.0k citations indexed

About

Sravya Kommineni is a scholar working on Molecular Biology, Cancer Research and Pharmacology. According to data from OpenAlex, Sravya Kommineni has authored 5 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Cancer Research and 1 paper in Pharmacology. Recurrent topics in Sravya Kommineni's work include Cancer, Hypoxia, and Metabolism (2 papers), Inflammation biomarkers and pathways (1 paper) and Acute Myeloid Leukemia Research (1 paper). Sravya Kommineni is often cited by papers focused on Cancer, Hypoxia, and Metabolism (2 papers), Inflammation biomarkers and pathways (1 paper) and Acute Myeloid Leukemia Research (1 paper). Sravya Kommineni collaborates with scholars based in United States, Switzerland and China. Sravya Kommineni's co-authors include Ajamete Kaykas, Daniel Ho, Kathleen A. Worringer, Robert J. Ihry, Max R. Salick, Zinger Yang, Ricardo Dolmetsch, Julie Chen, Elizabeth Frias and Marie Sondey and has published in prestigious journals such as Nature Medicine, Cell stem cell and Journal of Bone and Mineral Research.

In The Last Decade

Sravya Kommineni

5 papers receiving 1.0k 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.

p53 inhibits CRISPR–Cas9 engineering in human pluripotent stem cells

2018 658 citations Robert J. Ihry, Kathleen A. Worringer et al. Nature Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sravya Kommineni United States	5	727	221	161	120	112	5	1.0k
Patrick G. Schupp United States	7	746 1.0×	181 0.8×	84 0.5×	54 0.5×	66 0.6×	12	1.0k
Robert J. Ihry United States	7	847 1.2×	237 1.1×	162 1.0×	53 0.4×	116 1.0×	9	1.1k
Dongshan Yang United States	20	1.0k 1.4×	476 2.2×	116 0.7×	83 0.7×	46 0.4×	43	1.3k
Boris Kantor United States	21	1.1k 1.5×	671 3.0×	43 0.3×	114 0.9×	104 0.9×	44	1.5k
Peter Lotfy United States	5	1.1k 1.5×	149 0.7×	62 0.4×	33 0.3×	40 0.4×	6	1.2k
Martin Del Castillo Velasco‐Herrera United Kingdom	9	925 1.3×	161 0.7×	41 0.3×	71 0.6×	109 1.0×	14	1.1k
Rebecca H. Herbst United States	9	1.4k 1.9×	173 0.8×	23 0.1×	417 3.5×	275 2.5×	11	1.9k
Tanglong Yuan China	9	1.1k 1.5×	299 1.4×	59 0.4×	30 0.3×	39 0.3×	13	1.1k
Linhong Li United States	16	571 0.8×	209 0.9×	20 0.1×	251 2.1×	261 2.3×	35	924
Eunji Kim South Korea	11	1.7k 2.4×	424 1.9×	95 0.6×	24 0.2×	102 0.9×	28	1.9k

Countries citing papers authored by Sravya Kommineni

Since Specialization

Citations

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

Fields of papers citing papers by Sravya Kommineni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sravya Kommineni

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

5 of 5 papers shown

1.

Ihry, Robert J., Kathleen A. Worringer, Max R. Salick, et al.. (2018). p53 inhibits CRISPR–Cas9 engineering in human pluripotent stem cells. Nature Medicine. 24(7). 939–946. 658 indexed citations breakdown →

2.

Feuerbach, Dominik, Patrick Schindler, Carmen Barske, et al.. (2017). ADAM17 is the main sheddase for the generation of human triggering receptor expressed in myeloid cells (hTREM2) ectodomain and cleaves TREM2 after Histidine 157. Neuroscience Letters. 660. 109–114. 109 indexed citations

3.

Wells, Michael F., Max R. Salick, Ole Wiskow, et al.. (2016). Genetic Ablation of AXL Does Not Protect Human Neural Progenitor Cells and Cerebral Organoids from Zika Virus Infection. Cell stem cell. 19(6). 703–708. 211 indexed citations

4.

Anglin, Ian E., et al.. (2011). Glucose‐activated RUNX2 phosphorylation promotes endothelial cell proliferation and an angiogenic phenotype. Journal of Cellular Biochemistry. 113(1). 282–292. 26 indexed citations

5.

Kommineni, Sravya, Moran Choe, Jessica M. Bennett, et al.. (2011). Regulation of RUNX2 transcription factor–DNA interactions and cell proliferation by vitamin D3 (cholecalciferol) prohormone activity. Journal of Bone and Mineral Research. 27(4). 913–925. 17 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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