Hem D. Shukla

1.6k total citations
38 papers, 659 citations indexed

About

Hem D. Shukla is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Hem D. Shukla has authored 38 papers receiving a total of 659 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 11 papers in Cancer Research and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Hem D. Shukla's work include Pancreatic and Hepatic Oncology Research (6 papers), Botulinum Toxin and Related Neurological Disorders (4 papers) and MicroRNA in disease regulation (4 papers). Hem D. Shukla is often cited by papers focused on Pancreatic and Hepatic Oncology Research (6 papers), Botulinum Toxin and Related Neurological Disorders (4 papers) and MicroRNA in disease regulation (4 papers). Hem D. Shukla collaborates with scholars based in United States, India and Australia. Hem D. Shukla's co-authors include Shashi Sharma, Željko Vujašković, Javed Mahmood, Shiladitya DasSarma, Paula M. Pitha, Robert J. Cotter, Santanu Samanta, Jason K. Molitoris, Ali Saeed and Bal Ram Singh and has published in prestigious journals such as PLoS ONE, Biochemistry and Cancer Research.

In The Last Decade

Hem D. Shukla

36 papers receiving 651 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hem D. Shukla United States 16 309 88 83 80 78 38 659
Ida Grundberg Sweden 10 479 1.6× 128 1.5× 59 0.7× 29 0.4× 41 0.5× 14 769
Yusuke Nakayama Japan 17 333 1.1× 89 1.0× 215 2.6× 34 0.4× 61 0.8× 45 1.0k
Yurong Huang China 19 610 2.0× 201 2.3× 166 2.0× 15 0.2× 37 0.5× 67 959
Alysia D. Vrailas‐Mortimer United States 15 453 1.5× 35 0.4× 43 0.5× 26 0.3× 33 0.4× 31 840
Jin Inoue Japan 12 459 1.5× 48 0.5× 55 0.7× 22 0.3× 14 0.2× 25 621
Gerald Soslau United States 19 351 1.1× 73 0.8× 75 0.9× 33 0.4× 10 0.1× 58 1.2k
Kyung Won Kim South Korea 21 391 1.3× 63 0.7× 75 0.9× 11 0.1× 21 0.3× 50 1.3k
Ina V. Martin Germany 19 360 1.2× 55 0.6× 126 1.5× 49 0.6× 10 0.1× 30 836
Jeffrey C. Johnson United States 9 523 1.7× 60 0.7× 91 1.1× 41 0.5× 68 0.9× 12 719
Björn Koos Germany 15 478 1.5× 49 0.6× 67 0.8× 19 0.2× 17 0.2× 41 719

Countries citing papers authored by Hem D. Shukla

Since Specialization
Citations

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

Fields of papers citing papers by Hem D. Shukla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hem D. Shukla. 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 Hem D. Shukla. The network helps show where Hem D. Shukla may publish in the future.

Co-authorship network of co-authors of Hem D. Shukla

This figure shows the co-authorship network connecting the top 25 collaborators of Hem D. Shukla. A scholar is included among the top collaborators of Hem D. Shukla 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 Hem D. Shukla. Hem D. Shukla 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.
Sharma, Archana, Sanjit K. Roy, Heather E. Ryan, et al.. (2025). Mouse pancreatic tumor organoids reveal synergistic efficacy of low-dose anticancer drug and radiation combinations. Frontiers in Medicine. 12. 1661521–1661521.
2.
Roy, Sanjit K., Binny Bhandary, Narottam Lamichhane, et al.. (2024). SOX2 and OCT4 mediate radiation and drug resistance in pancreatic tumor organoids. Cell Death Discovery. 10(1). 106–106. 6 indexed citations
3.
Roy, Sanjit Kumar, William R. Ryan, Binny Bhandary, et al.. (2024). Abstract B086: Patient-derived pancreatic tumor organoids as a tool to evaluate cancer stem cell populations and their role in therapeutic resistance. Cancer Research. 84(17_Supplement_2). B086–B086.
4.
Shukla, Hem D., Sanjit Kumar Roy, Binny Bhandary, et al.. (2023). Pancreatic cancer derived 3D organoids as a clinical tool to evaluate the treatment response. Frontiers in Oncology. 12. 1072774–1072774. 8 indexed citations
5.
Roy, Sanjit K., David H. Burk, Fabrizio Donnarumma, et al.. (2023). Multimodal Imaging of Pancreatic Cancer Microenvironment in Response to an Antiglycolytic Drug. Advanced Healthcare Materials. 12(31). e2301815–e2301815. 5 indexed citations
6.
Basalious, Emad B., et al.. (2023). Differential Signaling Pathways in Medulloblastoma: Nano-biomedicine TargetingNon-coding Epigenetics to Improve Current and Future Therapeutics. Current Pharmaceutical Design. 30(1). 31–47. 25 indexed citations
7.
Roy, Sanjit K., et al.. (2023). Docetaxel radiosensitizes castration-resistant prostate cancer by downregulating CAV-1. International Journal of Radiation Biology. 100(2). 256–267. 2 indexed citations
8.
Leiser, Dominic, Santanu Samanta, John G. Eley, et al.. (2021). Role of caveolin-1 as a biomarker for radiation resistance and tumor aggression in lung cancer. PLoS ONE. 16(11). e0258951–e0258951. 15 indexed citations
9.
Mahmood, Javed, Ali Saeed, Minjie Chen, et al.. (2020). RhoA/ROCK pathway inhibitor ameliorates erectile dysfunction induced by radiation therapy in rats. Radiotherapy and Oncology. 150. 174–180. 9 indexed citations
10.
Mahmood, Javed, Santanu Samanta, France Carrier, et al.. (2020). A Combination of Radiotherapy, Hyperthermia, and Immunotherapy Inhibits Pancreatic Tumor Growth and Prolongs the Survival of Mice. Cancers. 12(4). 1015–1015. 16 indexed citations
11.
Mahmood, Javed, et al.. (2016). Caveolin-1: A Novel Prognostic Biomarker for Radioresistance in Non-Small Cell Lung Carcinoma (NSCLC) and Prostate Cancer. International Journal of Radiation Oncology*Biology*Physics. 96(2). E589–E590. 1 indexed citations
12.
Shukla, Hem D.. (2016). Novel Genomics and Proteomics Based Biomarkers to Predict Radiation Response and Normal Radiotoxicity in Cancer Patients for Personalized Medicine. 2016(3). 1 indexed citations
13.
Mahmood, Javed, Radmila Pavlović, Hotaka Matsui, et al.. (2016). Radiation-induced erectile dysfunction: Recent advances and future directions. Advances in Radiation Oncology. 1(3). 161–169. 47 indexed citations
14.
Shukla, Hem D., Javed Mahmood, & Željko Vujašković. (2015). Integrated proteo-genomic approach for early diagnosis and prognosis of cancer. Cancer Letters. 369(1). 28–36. 33 indexed citations
15.
Shukla, Hem D., Ananya Majumdar, Anatoly I. Dragan, et al.. (2012). The Linker of the Interferon Response Factor 3 Transcription Factor Is Not Unfolded. Biochemistry. 51(32). 6320–6327. 6 indexed citations
17.
Sharma, Shashi K., et al.. (2009). Protein Domain Analysis of C. botulinum Type A Neurotoxin and Its Relationship with Other Botulinum Serotypes. Toxins. 2(1). 1–9. 3 indexed citations
19.
Shukla, Hem D. & Shashi Sharma. (2005). Clostridium botulinum: A Bug with Beauty and Weapon. Critical Reviews in Microbiology. 31(1). 11–18. 80 indexed citations
20.
Shukla, Hem D. & Bal Ram Singh. (1999). Identification of DnaJ-like Chaperone in Clostridium botulinum Type A. Journal of Protein Chemistry. 18(6). 695–700. 7 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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