Harish Srinivasan

411 total citations
7 papers, 354 citations indexed

About

Harish Srinivasan is a scholar working on Cancer Research, Genetics and Biotechnology. According to data from OpenAlex, Harish Srinivasan has authored 7 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cancer Research, 2 papers in Genetics and 2 papers in Biotechnology. Recurrent topics in Harish Srinivasan's work include Cancer Research and Treatments (2 papers), Mesoporous Materials and Catalysis (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Harish Srinivasan is often cited by papers focused on Cancer Research and Treatments (2 papers), Mesoporous Materials and Catalysis (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Harish Srinivasan collaborates with scholars based in India, Germany and France. Harish Srinivasan's co-authors include Muthusamy Eswaramoorthy, Dheeraj K. Singh, S. Sampath, Katla Sai Krishna, Anandh Balasubramaniam, Paturu Kondaiah, Vani Santosh, Peddagangannagari Sreekanthreddy, Arimappamagan Arivazhagan and Kumaravel Somasundaram and has published in prestigious journals such as Angewandte Chemie International Edition, PLoS ONE and PROTEOMICS.

In The Last Decade

Harish Srinivasan

7 papers receiving 353 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Harish Srinivasan India	7	131	104	96	59	49	7	354
Xinting Wei China	15	173 1.3×	61 0.6×	120 1.3×	28 0.5×	95 1.9×	29	507
Chenran Zhang China	11	210 1.6×	33 0.3×	95 1.0×	45 0.8×	69 1.4×	27	378
Yinghua Zou China	12	102 0.8×	78 0.8×	46 0.5×	25 0.4×	20 0.4×	45	438
Fukang Yuan China	13	172 1.3×	37 0.4×	70 0.7×	68 1.2×	49 1.0×	27	637
Zongwei Huang China	10	131 1.0×	21 0.2×	78 0.8×	15 0.3×	35 0.7×	40	371
Yu Xuan Koo Singapore	10	208 1.6×	79 0.8×	136 1.4×	22 0.4×	12 0.2×	14	700
Revaz Machaidze United States	6	191 1.5×	170 1.6×	30 0.3×	17 0.3×	9 0.2×	7	675
Ruichun Li China	10	133 1.0×	29 0.3×	78 0.8×	13 0.2×	75 1.5×	40	308
Xincheng Chen China	13	248 1.9×	43 0.4×	161 1.7×	49 0.8×	43 0.9×	21	471

Countries citing papers authored by Harish Srinivasan

Since Specialization

Citations

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

Fields of papers citing papers by Harish Srinivasan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Harish Srinivasan

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

All Works

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7 of 7 papers shown

1.

Singh, Dheeraj K., Katla Sai Krishna, Harish Srinivasan, S. Sampath, & Muthusamy Eswaramoorthy. (2016). No More HF: Teflon‐Assisted Ultrafast Removal of Silica to Generate High‐Surface‐Area Mesostructured Carbon for Enhanced CO₂ Capture and Supercapacitor Performance. Angewandte Chemie. 128(6). 2072–2076. 6 indexed citations

2.

Singh, Dheeraj K., Katla Sai Krishna, Harish Srinivasan, S. Sampath, & Muthusamy Eswaramoorthy. (2016). No More HF: Teflon‐Assisted Ultrafast Removal of Silica to Generate High‐Surface‐Area Mesostructured Carbon for Enhanced CO₂ Capture and Supercapacitor Performance. Angewandte Chemie International Edition. 55(6). 2032–2036. 92 indexed citations

3.

Srinivasan, Harish, Yves Allory, Martin Sill, et al.. (2014). Prediction of recurrence of non muscle‐invasive bladder cancer by means of a protein signature identified by antibody microarray analyses. PROTEOMICS. 14(11). 1333–1342. 14 indexed citations

4.

Arivazhagan, Arimappamagan, Kumaravel Somasundaram, Kandavel Thennarasu, et al.. (2013). A Fourteen Gene GBM Prognostic Signature Identifies Association of Immune Response Pathway and Mesenchymal Subtype with High Risk Group. PLoS ONE. 8(4). e62042–e62042. 45 indexed citations

5.

Schröder, Christoph, Harish Srinivasan, Martin Sill, et al.. (2013). Plasma protein analysis of patients with different B‐cell lymphomas using high‐content antibody microarrays. PROTEOMICS - CLINICAL APPLICATIONS. 7(11-12). 802–812. 17 indexed citations

6.

Sreekanthreddy, Peddagangannagari, Harish Srinivasan, Durairaj Mohan Kumar, et al.. (2010). Identification of Potential Serum Biomarkers of Glioblastoma: Serum Osteopontin Levels Correlate with Poor Prognosis. Cancer Epidemiology Biomarkers & Prevention. 19(6). 1409–1422. 105 indexed citations

7.

Santosh, Vani, Arimappamagan Arivazhagan, Peddagangannagari Sreekanthreddy, et al.. (2010). Grade-Specific Expression of Insulin-like Growth Factor–Binding Proteins-2, -3, and -5 in Astrocytomas: IGFBP-3 Emerges as a Strong Predictor of Survival in Patients with Newly Diagnosed Glioblastoma. Cancer Epidemiology Biomarkers & Prevention. 19(6). 1399–1408. 75 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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