Harsh Pawar

908 total citations
28 papers, 561 citations indexed

About

Harsh Pawar is a scholar working on Public Health, Environmental and Occupational Health, Epidemiology and Molecular Biology. According to data from OpenAlex, Harsh Pawar has authored 28 papers receiving a total of 561 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Public Health, Environmental and Occupational Health, 13 papers in Epidemiology and 11 papers in Molecular Biology. Recurrent topics in Harsh Pawar's work include Research on Leishmaniasis Studies (14 papers), Trypanosoma species research and implications (13 papers) and Insect Resistance and Genetics (4 papers). Harsh Pawar is often cited by papers focused on Research on Leishmaniasis Studies (14 papers), Trypanosoma species research and implications (13 papers) and Insect Resistance and Genetics (4 papers). Harsh Pawar collaborates with scholars based in India, United States and Israel. Harsh Pawar's co-authors include Akhilesh Pandey, Thottethodi Subrahmanya Keshava Prasad, Santosh Renuse, Harsha Gowda, Raghothama Chaerkady, Kumaran Kandasamy, Milind S. Patole, Manoj Kumar Kashyap, Nandini A. Sahasrabuddhe and Shivakumar Keerthikumar and has published in prestigious journals such as Nucleic Acids Research, Scientific Reports and Genomics.

In The Last Decade

Harsh Pawar

24 papers receiving 546 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Harsh Pawar India 15 316 163 138 90 62 28 561
Zhirong Mou Canada 18 278 0.9× 164 1.0× 179 1.3× 22 0.2× 16 0.3× 36 761
Guido Kohla Germany 15 381 1.2× 59 0.4× 73 0.5× 18 0.2× 37 0.6× 24 693
Stéphanie Suarez Switzerland 7 296 0.9× 189 1.2× 88 0.6× 10 0.1× 25 0.4× 7 619
Luc English Canada 8 298 0.9× 420 2.6× 96 0.7× 20 0.2× 10 0.2× 10 767
Siqi Hu China 13 412 1.3× 108 0.7× 52 0.4× 21 0.2× 8 0.1× 38 653
Gabrielle Vièyres Germany 20 296 0.9× 663 4.1× 57 0.4× 16 0.2× 53 0.9× 31 1.4k
Karine Bernard France 9 453 1.4× 61 0.4× 18 0.1× 23 0.3× 13 0.2× 11 682
Federica Fratini Italy 13 294 0.9× 58 0.4× 71 0.5× 5 0.1× 47 0.8× 29 512
Antony Y. Matthews Australia 13 225 0.7× 107 0.7× 48 0.3× 9 0.1× 21 0.3× 17 591
A. H. Straus Brazil 11 169 0.5× 164 1.0× 69 0.5× 11 0.1× 27 0.4× 20 513

Countries citing papers authored by Harsh Pawar

Since Specialization
Citations

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

Fields of papers citing papers by Harsh Pawar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Harsh Pawar

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

All Works

20 of 20 papers shown
1.
Pawar, Harsh, et al.. (2025). Revisiting the Sequenced Sand Fly Phlebotomus Papatasi Proteome. Acta Parasitologica. 70(4). 170–170.
2.
Shenoy, Aditi, et al.. (2025). Identification of new protein-coding potential in Leishmania braziliensis using a proteogenomics approach. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1874(1). 141108–141108.
3.
Ganguly, Nirmal Kumar, Harsh Pawar, Angamuthu Selvapandiyan, et al.. (2024). Leishmania parasite arginine deprivation response pathway influences the host macrophage lysosomal arginine sensing machinery. Medical Research Archives. 12(10).
4.
Dey, Gourav, Kaushik Parthasarathi, Kalpana Pai, et al.. (2024). A Proteogenomic Approach for the Identification of Virulence Factors in Leishmania Parasites. Methods in molecular biology. 2859. 279–296.
5.
Avishek, Kumar, et al.. (2022). An In-depth Proteomic Map of Leishmania donovani Isolate from Post Kala-azar Dermal Leishmaniasis (PKDL) Patient. Acta Parasitologica. 67(2). 687–696. 1 indexed citations
6.
Pawar, Harsh, Gajanan Sathe, & Milind S. Patole. (2020). Genome-Wide Proteomics and Phosphoproteomics Analysis of Leishmania spp. During Differentiation. Methods in molecular biology. 2116. 161–176. 3 indexed citations
7.
Pawar, Harsh, et al.. (2019). The arginine sensing and transport binding sites are distinct in the human pathogen Leishmania. PLoS neglected tropical diseases. 13(4). e0007304–e0007304. 15 indexed citations
8.
Mandaviya, Pooja R., et al.. (2018). ESCC ATLAS: A population wide compendium of biomarkers for Esophageal Squamous Cell Carcinoma. Scientific Reports. 8(1). 12715–12715. 20 indexed citations
9.
Pawar, Harsh, Kalpana Pai, & Milind S. Patole. (2016). A novel protein coding potential of long intergenic non-coding RNAs (lincRNAs) in the kinetoplastid protozoan parasite Leishmania major. Acta Tropica. 167. 21–25. 14 indexed citations
10.
Pawar, Harsh, Srikanth S. Manda, Manoj Kumar Kashyap, et al.. (2015). Downregulation of S100 Calcium Binding Protein A9 in Esophageal Squamous Cell Carcinoma. The Scientific World JOURNAL. 2015(1). 325721–325721. 8 indexed citations
11.
Pawar, Harsh, Sandip Chavan, Aditi Kulkarni, et al.. (2015). A proteomic map of the unsequenced kala-azar vector Phlebotomus papatasi using cell line. Acta Tropica. 152. 80–89. 1 indexed citations
12.
Pawar, Harsh, et al.. (2014). A bioinformatics approach to reanalyze the genome annotation of kinetoplastid protozoan parasite Leishmania donovani. Genomics. 104(6). 554–561. 13 indexed citations
13.
Kashyap, Manoj Kumar, Harsh Pawar, Shivakumar Keerthikumar, et al.. (2013). Evaluation of protein expression pattern of stanniocalcin 2, insulin-like growth factor-binding protein 7, inhibin beta A and four and a half LIM domains 1 in esophageal squamous cell carcinoma. Cancer Biomarkers. 12(1). 1–9. 16 indexed citations
14.
Venugopal, Abhilash K, Lakshmi Dhevi N. Selvan, Anita Mahadevan, et al.. (2013). Quantitative proteomics for identifying biomarkers for Rabies. Clinical Proteomics. 10(1). 3–3. 31 indexed citations
15.
Nirujogi, Raja Sekhar, Harsh Pawar, Santosh Renuse, et al.. (2013). Moving from unsequenced to sequenced genome: Reanalysis of the proteome of Leishmania donovani. Journal of Proteomics. 97. 48–61. 32 indexed citations
16.
Telikicherla, Deepthi, et al.. (2012). Overexpression of Kinesin Associated Protein 3 (KIFAP3) in Breast Cancer. Journal of Proteomics & Bioinformatics. 5(5). 122–126. 6 indexed citations
17.
Pawar, Harsh, Manoj Kumar Kashyap, Jyoti Sharma, et al.. (2012). Downregulation of cornulin in esophageal squamous cell carcinoma. Acta Histochemica. 115(2). 89–99. 25 indexed citations
18.
Kumar, Ghantasala S. Sameer, Abhilash K Venugopal, Anita Mahadevan, et al.. (2012). Quantitative proteomics for identifying biomarkers for tuberculous meningitis. Clinical Proteomics. 9(1). 12–12. 26 indexed citations
19.
Pawar, Harsh, Manoj Kumar Kashyap, Nandini A. Sahasrabuddhe, et al.. (2011). Quantitative tissue proteomics of esophageal squamous cell carcinoma for novel biomarker discovery. Cancer Biology & Therapy. 12(6). 510–522. 91 indexed citations
20.
Prasad, Thottethodi Subrahmanya Keshava, Shivakumar Keerthikumar, Raghothama Chaerkady, et al.. (2010). Comparative Proteomic Analysis of Candida albicans and Candida glabrata. Clinical Proteomics. 6(4). 163–173. 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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