Geet Aggarwal

650 total citations
55 papers, 193 citations indexed

About

Geet Aggarwal is a scholar working on Hematology, Epidemiology and Physiology. According to data from OpenAlex, Geet Aggarwal has authored 55 papers receiving a total of 193 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Hematology, 13 papers in Epidemiology and 11 papers in Physiology. Recurrent topics in Geet Aggarwal's work include Blood groups and transfusion (21 papers), Blood donation and transfusion practices (10 papers) and Renal Transplantation Outcomes and Treatments (9 papers). Geet Aggarwal is often cited by papers focused on Blood groups and transfusion (21 papers), Blood donation and transfusion practices (10 papers) and Renal Transplantation Outcomes and Treatments (9 papers). Geet Aggarwal collaborates with scholars based in India, United States and United Kingdom. Geet Aggarwal's co-authors include Aseem Kumar Tiwari, Gunjan Bhardwaj, Vimarsh Raina, Subhasis Mitra, Prashant Pandey, Arun Raizada, Arvinder S. Soin, Ritesh Sachdev, Jyoti Sharma and Richa Bhargava and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Immunological Methods and Vox Sanguinis.

In The Last Decade

Geet Aggarwal

44 papers receiving 183 citations

Peers

Geet Aggarwal
Geet Aggarwal
Citations per year, relative to Geet Aggarwal Geet Aggarwal (= 1×) peers Carolina Bonet Bub

Countries citing papers authored by Geet Aggarwal

Since Specialization
Citations

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

Fields of papers citing papers by Geet Aggarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Geet Aggarwal

This figure shows the co-authorship network connecting the top 25 collaborators of Geet Aggarwal. A scholar is included among the top collaborators of Geet Aggarwal 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 Geet Aggarwal. Geet Aggarwal 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
2.
Pandey, Prashant, Aseem Kumar Tiwari, Shamee Shastry, et al.. (2023). I-JAMM-(I): A survey providing an insight into the practices of isoagglutinin titration in ABO incompatible kidney and liver transplantation. Transfusion and Apheresis Science. 63(1). 103862–103862. 1 indexed citations
5.
Tiwari, Aseem Kumar, Simmi Mehra, Geet Aggarwal, et al.. (2021). Prevalence of clinically significant anti-HLA antibodies in renal transplant patients: Single-center report from north India. Indian Journal of Nephrology. 31(3). 240–240. 1 indexed citations
8.
Aggarwal, Geet, et al.. (2020). Applying Donath–Landsteiner test for the diagnosis of paroxysmal cold hemoglobinuria. SHILAP Revista de lepidopterología. 14(1). 57–57. 1 indexed citations
9.
Bhardwaj, Gunjan, et al.. (2020). Utility of grey zone testing strategy in transfusion transmissible infection testing in blood bank is of limited value!. SHILAP Revista de lepidopterología. 63(2). 255–255. 3 indexed citations
10.
Tiwari, Aseem Kumar, et al.. (2020). The frequent and the unusual red cell phenotypes in Indian blood donors: A quest for rare donors. Transfusion and Apheresis Science. 59(4). 102765–102765. 13 indexed citations
11.
12.
Tiwari, Aseem Kumar, et al.. (2020). Safety assessment of RhD-positive red cell transfusion in RhD-negative liver-transplant recipients. The Indian Journal of Medical Research. 152(6). 662–666. 2 indexed citations
13.
Mehra, Simmi, et al.. (2019). Discordance between Flow-Cytometry Crossmatch and single antigen bead (SAB) assay: An uncommon finding and its resolution. Indian Journal of Nephrology. 30(1). 55–55. 1 indexed citations
14.
Mitra, Subhasis, et al.. (2019). Comparison of a column agglutination technology-based automated immunohematology analyzer and a semiautomated system in pretransfusion testing. SHILAP Revista de lepidopterología. 13(2). 115–115. 2 indexed citations
15.
Aggarwal, Geet, et al.. (2018). Advantages of type and screen policy: Perspective from a developing country!. Asian Journal of Transfusion Science. 12(1). 42–42. 6 indexed citations
16.
Aggarwal, Geet, et al.. (2017). Successful renal transplantation across HLA barrier: Report from India. Indian Journal of Nephrology. 27(3). 210–210. 5 indexed citations
17.
Mitra, Subhasis, et al.. (2017). Alloimmunization in autoimmune hemolytic anemia patient: The differential adsorption approach. Asian Journal of Transfusion Science. 11(1). 53–53. 3 indexed citations
18.
Tiwari, Aseem Kumar, et al.. (2017). Co-infection of blood borne viruses in blood donors: A cross-sectional study from North India. Transfusion and Apheresis Science. 56(3). 367–370. 5 indexed citations
19.
Tiwari, Aseem Kumar, et al.. (2016). Post-donation telephonic interview of blood donors providing an insight into delayed adverse reactions: First attempt in India. Transfusion and Apheresis Science. 56(2). 141–146. 7 indexed citations
20.
Tiwari, Aseem Kumar, et al.. (2014). Cascade plasmapheresis (CP) as a preconditioning regime in ABO-incompatible live related donor liver transplants (ABOi-LDLT). PubMed. 3(1). 17–17. 19 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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