Rashmi Jain

1.6k total citations
26 papers, 627 citations indexed

About

Rashmi Jain is a scholar working on Genetics, Infectious Diseases and Surgery. According to data from OpenAlex, Rashmi Jain has authored 26 papers receiving a total of 627 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Genetics, 6 papers in Infectious Diseases and 6 papers in Surgery. Recurrent topics in Rashmi Jain's work include Mesenchymal stem cell research (6 papers), COVID-19 Clinical Research Studies (4 papers) and Immunodeficiency and Autoimmune Disorders (3 papers). Rashmi Jain is often cited by papers focused on Mesenchymal stem cell research (6 papers), COVID-19 Clinical Research Studies (4 papers) and Immunodeficiency and Autoimmune Disorders (3 papers). Rashmi Jain collaborates with scholars based in India, United States and United Kingdom. Rashmi Jain's co-authors include Madhan Jeyaraman, Sathish Muthu, Naveen Jeyaraman, Vivek Makwana, Manish Nivsarkar, Amita Joshi, Manish Khanna, Fatima Dhalla, Smita Y. Patel and Anna Schuh and has published in prestigious journals such as New England Journal of Medicine, International Journal of Pharmaceutics and Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease.

In The Last Decade

Rashmi Jain

23 papers receiving 612 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rashmi Jain India	13	187	123	109	96	92	26	627
James Thommes United States	13	157 0.8×	42 0.3×	162 1.5×	52 0.5×	39 0.4×	32	1.0k
Antonio Martínez‐López Spain	16	97 0.5×	46 0.4×	40 0.4×	34 0.4×	154 1.7×	66	839
Benjamin Jacobs United States	10	153 0.8×	51 0.4×	123 1.1×	52 0.5×	112 1.2×	25	986
Susanne Roser‐Page United States	18	347 1.9×	49 0.4×	54 0.5×	14 0.1×	97 1.1×	26	1.0k
Youngsen Yang Taiwan	10	169 0.9×	46 0.4×	59 0.5×	27 0.3×	68 0.7×	31	595
Rakefet Czerninski Israel	18	356 1.9×	22 0.2×	23 0.2×	53 0.6×	96 1.0×	52	1.3k
Tamara Salam Housman United States	16	113 0.6×	47 0.4×	24 0.2×	39 0.4×	270 2.9×	31	1.5k
Iêda Maria Magalhães Laurindo Brazil	22	79 0.4×	84 0.7×	112 1.0×	42 0.4×	219 2.4×	62	1.1k
Natasha Singh United Kingdom	16	204 1.1×	38 0.3×	16 0.1×	23 0.2×	149 1.6×	55	973
Silvia Beretta Italy	15	141 0.8×	15 0.1×	76 0.7×	31 0.3×	49 0.5×	19	737

Countries citing papers authored by Rashmi Jain

Since Specialization

Citations

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

Fields of papers citing papers by Rashmi Jain

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rashmi Jain

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

All Works

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20 of 20 papers shown

Peters, Nicholas, Fatima Dhalla, Lucy Howarth, et al.. (2024). Normalization of C1 Inhibitor in a Patient with Hereditary Angioedema. New England Journal of Medicine. 391(1). 56–59.

Yong, Patrick, Lavanya Diwakar, Shuayb Elkhalifa, et al.. (2024). Prophylaxis in hereditary angioedema: a United Kingdom Delphi consensus. Clinical & Experimental Immunology. 217(1). 109–116.

Warnatz, Klaus, Stephen Jolles, Carlo Agostini, et al.. (2022). Subcutaneous Gammanorm® by pump or rapid push infusion: Impact of the device on quality of life in adult patients with primary immunodeficiencies. Clinical Immunology. 236. 108938–108938. 4 indexed citations

Jha, Niraj Kumar, Shreesh Ojha, Saurabh Kumar Jha, et al.. (2021). Evidence of Coronavirus (CoV) Pathogenesis and Emerging Pathogen SARS-CoV-2 in the Nervous System: A Review on Neurological Impairments and Manifestations. Journal of Molecular Neuroscience. 71(11). 2192–2209. 85 indexed citations

Muthu, Sathish, et al.. (2021). Does the Intradiscal Injection of Platelet Rich Plasma Have Any Beneficial Role in the Management of Lumbar Disc Disease?. Global Spine Journal. 12(3). 503–514. 19 indexed citations

Muthu, Sathish, et al.. (2021). Exosomal therapy—a new frontier in regenerative medicine. PubMed. 8. 7–7. 108 indexed citations

Jeyaraman, Madhan, et al.. (2021). Platelet lysate for COVID-19 pneumonia—a newer adjunctive therapeutic avenue. PubMed. 8. 11–11. 7 indexed citations

Jeyaraman, Madhan, et al.. (2021). Primary Angiosarcoma of Humerus – A Case Report and Literature Review. Journal of Orthopaedic Case Reports. 11(5). 12–17. 1 indexed citations

Jain, Rashmi, et al.. (2021). Placenta-derived mesenchymal stem cells (P-MSCs) for COVID-19 pneumonia—a regenerative dogma. PubMed. 8. 3–3. 14 indexed citations

10.

Jain, Rashmi, et al.. (2021). Autologous bone marrow aspirate concentrate (BMAC) for treatment of keratocystic odontogenic tumour (KCOT) —a case report. PubMed. 8. 16–16. 5 indexed citations

11.

Jeyaraman, Madhan, Sathish Muthu, Rashmi Jain, & Manish Khanna. (2020). Autologous bone marrow derived mesenchymal stem cell therapy for osteonecrosis of femoral head: A systematic overview of overlapping meta-analyses. Journal of Clinical Orthopaedics and Trauma. 13. 134–142. 19 indexed citations

12.

Jeyaraman, Madhan, et al.. (2020). Mesenchymal Stem Cells (MSCs) as a Novel Therapeutic Option for nCOVID-19—A Review. 9(2). 20–35. 11 indexed citations

13.

Kumar, Bhupendra, et al.. (2020). A Wonder Drug in the Arsenal against COVID - 19: Medication Evidence from Ivermectin. Journal of Advances in Medicine and Medical Research. 30–37. 4 indexed citations

14.

Jeyaraman, Madhan, et al.. (2020). Cellular therapy: shafts of light emerging for COVID-19. PubMed. 7. 11–11. 8 indexed citations

15.

Jeyaraman, Madhan, Albin John, Santhosh Koshy, et al.. (2020). Fostering mesenchymal stem cell therapy to halt cytokine storm in COVID-19. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1867(2). 166014–166014. 22 indexed citations

16.

Makwana, Vivek, et al.. (2015). Solid lipid nanoparticles (SLN) of Efavirenz as lymph targeting drug delivery system: Elucidation of mechanism of uptake using chylomicron flow blocking approach. International Journal of Pharmaceutics. 495(1). 439–446. 147 indexed citations

17.

Dhalla, Fatima, Mary Lucas, Anna Schuh, et al.. (2014). Antibody Deficiency Secondary to Chronic Lymphocytic Leukemia: Should Patients be Treated with Prophylactic Replacement Immunoglobulin?. Journal of Clinical Immunology. 34(3). 277–282. 72 indexed citations

18.

Jain, Rashmi, et al.. (2014). An Overview of Nuclear Medicine Studies for Urgent and Emergent Indications. Seminars in Roentgenology. 49(2). 210–224.

19.

Jain, Rashmi, et al.. (2006). Limitations of Current Antiretroviral Agents and Opportunities for Development. Current Pharmaceutical Design. 12(9). 1065–1074. 8 indexed citations

20.

Jain, Rashmi, et al.. (2005). Gelatinous transformation of bone marrow: a study of 43 cases.. PubMed. 48(1). 1–3. 14 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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