Mohammad Awaji

630 total citations
19 papers, 487 citations indexed

About

Mohammad Awaji is a scholar working on Immunology, Oncology and Transplantation. According to data from OpenAlex, Mohammad Awaji has authored 19 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Immunology, 9 papers in Oncology and 3 papers in Transplantation. Recurrent topics in Mohammad Awaji's work include T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (6 papers) and Pancreatic and Hepatic Oncology Research (5 papers). Mohammad Awaji is often cited by papers focused on T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (6 papers) and Pancreatic and Hepatic Oncology Research (5 papers). Mohammad Awaji collaborates with scholars based in Saudi Arabia, United States and Canada. Mohammad Awaji's co-authors include Rakesh K. Singh, Sugandha Saxena, Lingyun Wu, Michelle L. Varney, Bhawna Sharma, Surinder K. Batra, Abhilasha Purohit, Satyanarayana Rachagani, Tayla B. Heavican and Mitsuru Futakuchi and has published in prestigious journals such as Cancer Research, The FASEB Journal and American Journal Of Pathology.

In The Last Decade

Mohammad Awaji

18 papers receiving 483 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mohammad Awaji Saudi Arabia	7	292	238	128	75	45	19	487
Maria M. Steele United States	12	319 1.1×	168 0.7×	194 1.5×	66 0.9×	34 0.8×	20	494
David J. Bajor United States	6	418 1.4×	140 0.6×	131 1.0×	106 1.4×	65 1.4×	15	491
Emily Nordquist United States	5	315 1.1×	186 0.8×	130 1.0×	68 0.9×	18 0.4×	5	465
Susanne Schaten Germany	7	247 0.8×	158 0.7×	154 1.2×	142 1.9×	30 0.7×	7	422
Linda Ziani France	6	370 1.3×	326 1.4×	206 1.6×	152 2.0×	55 1.2×	7	603
Jérémy Nigri France	8	206 0.7×	118 0.5×	186 1.5×	98 1.3×	25 0.6×	11	382
Nicoletta Caronni Italy	12	224 0.8×	317 1.3×	127 1.0×	77 1.0×	26 0.6×	16	505
Elisa Ruffo United States	7	250 0.9×	203 0.9×	131 1.0×	30 0.4×	34 0.8×	10	428
Frank P. Assen Austria	5	210 0.7×	132 0.6×	124 1.0×	76 1.0×	60 1.3×	5	436

Countries citing papers authored by Mohammad Awaji

Since Specialization

Citations

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

Fields of papers citing papers by Mohammad Awaji

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Awaji

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

All Works

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19 of 19 papers shown

Awaji, Mohammad, et al.. (2025). Using Next Generation Sequencing, Identification of the Novel Allele HLA‐C*04:547 in a Saudi Individual. HLA. 106(4). e70422–e70422.

Awaji, Mohammad, et al.. (2025). Identification of the Novel Allele, HLA‐DQB1*05:351, in a Saudi Individual Using Next‐Generation Sequencing. HLA. 105(3). e70129–e70129. 1 indexed citations

Awaji, Mohammad, et al.. (2024). The Novel Allele, HLA‐C*06:391, Identified by Next Generation Sequencing in a Saudi Individual. HLA. 104(6). e70007–e70007. 1 indexed citations

Awaji, Mohammad, et al.. (2024). Identification of the novel allele, HLA‐DQB1*03:517, in a Saudi individual. HLA. 104(2). e15624–e15624. 2 indexed citations

Awaji, Mohammad, et al.. (2024). Identification of the novel allele, HLA‐A*30:01:22, in a Saudi individual. HLA. 103(4). e15486–e15486. 1 indexed citations

Awaji, Mohammad, et al.. (2022). HLA Sensitization in the Era of COVID-19: Single-Center Experience. Transplantation Proceedings. 54(10). 2658–2662. 2 indexed citations

Awaji, Mohammad, et al.. (2021). Graft‐versus‐host disease after pediatric liver transplantation: A diagnostic challenge. Pediatric Transplantation. 26(3). e14205–e14205. 2 indexed citations

Awaji, Mohammad, et al.. (2021). The novel allele, HLA‐A*32:148, identified by next generation sequencing in a Saudi individual. HLA. 97(6). 537–538. 2 indexed citations

Awaji, Mohammad, Sugandha Saxena, Lingyun Wu, et al.. (2020). CXCR2 signaling promotes secretory cancer‐associated fibroblasts in pancreatic ductal adenocarcinoma. The FASEB Journal. 34(7). 9405–9418. 56 indexed citations

10.

Wu, Lingyun, Mohammad Awaji, Sugandha Saxena, et al.. (2019). IL-17–CXC Chemokine Receptor 2 Axis Facilitates Breast Cancer Progression by Up-Regulating Neutrophil Recruitment. American Journal Of Pathology. 190(1). 222–233. 55 indexed citations

11.

Awaji, Mohammad, Mitsuru Futakuchi, Tayla B. Heavican, Javeed Iqbal, & Rakesh K. Singh. (2019). Cancer-Associated Fibroblasts Enhance Survival and Progression of the Aggressive Pancreatic Tumor Via FGF-2 and CXCL8. Cancer Microenvironment. 12(1). 37–46. 30 indexed citations

12.

Wu, Ling‐Yun, Sugandha Saxena, Mohammad Awaji, Bhawna Sharma, & Rakesh K. Singh. (2019). Abstract 4554: IL-17-CXCR2 axis promotes breast cancer metastasis and therapy resistance through facilitating recruitment of neutrophils. Cancer Research. 79(13_Supplement). 4554–4554. 1 indexed citations

13.

Wu, Lingyun, Sugandha Saxena, Mohammad Awaji, & Rakesh K. Singh. (2019). Tumor-Associated Neutrophils in Cancer: Going Pro. Cancers. 11(4). 564–564. 256 indexed citations

14.

Awaji, Mohammad & Rakesh K. Singh. (2019). Cancer-Associated Fibroblasts’ Functional Heterogeneity in Pancreatic Ductal Adenocarcinoma. Cancers. 11(3). 290–290. 41 indexed citations

15.

Kesherwani, Varun, Mohammad Awaji, R. Gregory Bociek, et al.. (2018). BK Viremia as a Predictor of Hemorrhagic Cystitis in Adults During the First 100 Days After Allogeneic Hematopoietic Stem Cell Transplantation. Transplantation Proceedings. 50(5). 1504–1509. 8 indexed citations

16.

Awaji, Mohammad, Michelle L. Varney, Abhilasha Purohit, Surinder K. Batra, & Rakesh K. Singh. (2018). Abstract 5085: CXCR2 signaling in pancreatic cancer induces a tumor supporting inflammatory phenotype of the cancer-associated fibroblasts. Cancer Research. 78(13_Supplement). 5085–5085. 2 indexed citations

17.

Awaji, Mohammad, Michelle L. Varney, Abhilasha Purohit, Surinder K. Batra, & Rakesh K. Singh. (2017). Abstract 942: CXCR2 acts as a checkpoint regulator of the pancreatic stellate cells activity within pancreatic cancer tumor microenvironment. Cancer Research. 77(13_Supplement). 942–942. 1 indexed citations

18.

Saxena, Sugandha, Yuri Hayashi, Lingyun Wu, et al.. (2017). Pathological and functional significance of Semaphorin-5A in pancreatic cancer progression and metastasis. Oncotarget. 9(5). 5931–5943. 25 indexed citations

19.

Liacini, Abdelhamid, Gaurav Tripathi, Mohammad Awaji, et al.. (2013). 1-P. Human Immunology. 74. 51–52. 1 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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