Neha Garg
- Cardiology and Cardiovascular Medicine top 10%
- Surgery
- Transplantation top 5%
- Public Health, Environmental and Occupational Health
- Health, Toxicology and Mutagenesis
- Co-authors
- Sony JacobApurva O. BadhekaLuis AfonsoMohammad KizilbashAnkit RathodTamam MohamadChirag R. ParikhMona D. Doshi
- Topics
- Acute Myeloid Leukemia Research (3 papers)Acute Lymphoblastic Leukemia research (3 papers)Pregnancy and preeclampsia studies (2 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe American Journal of MedicineThe American Journal of Cardiology
- Partner nations
- IndiaUnited States
In The Last Decade
Neha Garg
24 papers receiving 420 citations
Peers
Comparison fields: 5 of 85
- Cardiology and Cardiovascular Medicine 146
- Surgery 96
- Transplantation 72
- Public Health, Environmental and Occupational Health 67
- Health, Toxicology and Mutagenesis 51
Countries citing papers authored by Neha Garg
This map shows the geographic impact of Neha Garg'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 Neha Garg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neha Garg more than expected).
Fields of papers citing papers by Neha Garg
This network shows the impact of papers produced by Neha Garg. 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 Neha Garg. The network helps show where Neha Garg may publish in the future.
Co-authorship network of co-authors of Neha Garg
This figure shows the co-authorship network connecting the top 25 collaborators of Neha Garg. A scholar is included among the top collaborators of Neha Garg 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 Neha Garg. Neha Garg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | Immunophenotypic characteristics of T lineage acute lymphoblastic leukemia: absence of immaturity markers-TdT, CD34 and HLADR is not uncommon. | 3 |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 6 | |
| 8 | 7 | |
| 9 | 4 | |
| 10 | 3 | |
| 11 | 2 | |
| 12 | 12 | |
| 13 | 9 | |
| 14 | 14 | |
| 15 | 54 | |
| 16 | 24 | |
| 17 | 86 | |
| 18 | 8 | |
| 19 | 163 | |
| 20 | 2 |
About Neha Garg
Neha Garg is a scholar working on Transplantation, General Dentistry and Hematology, having authored 25 papers that have together received 427 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (3 papers), Acute Lymphoblastic Leukemia research (3 papers) and Pregnancy and preeclampsia studies (2 papers). The work is most often cited by research in Transplantation (72 citations), Cardiology and Cardiovascular Medicine (146 citations) and Health, Toxicology and Mutagenesis (51 citations). Neha Garg has collaborated with scholars based in India and United States. Frequent co-authors include Sony Jacob, Apurva O. Badheka, Luis Afonso, Mohammad Kizilbash, Ankit Rathod, Tamam Mohamad, Chirag R. Parikh, Mona D. Doshi, Peter P. Reese and Kiran Guleria. Their work appears in journals such as SHILAP Revista de lepidopterología, The American Journal of Medicine and The American Journal of Cardiology.
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.