Megha Bajaj

591 total citations
14 papers, 484 citations indexed

About

Megha Bajaj is a scholar working on Hematology, Genetics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Megha Bajaj has authored 14 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Hematology, 3 papers in Genetics and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Megha Bajaj's work include Blood Coagulation and Thrombosis Mechanisms (5 papers), Pain Mechanisms and Treatments (2 papers) and Platelet Disorders and Treatments (2 papers). Megha Bajaj is often cited by papers focused on Blood Coagulation and Thrombosis Mechanisms (5 papers), Pain Mechanisms and Treatments (2 papers) and Platelet Disorders and Treatments (2 papers). Megha Bajaj collaborates with scholars based in United States and India. Megha Bajaj's co-authors include S Paul Bajaj, M Kuppuswamy, Hidekazu Saito, S G Spitzer, Sally M. Tricomi, Robert B. Wysolmerski, Soumendra Rana, Walter Kisiel, Sophia Steer and Kathleen Koenig and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.

In The Last Decade

Megha Bajaj

14 papers receiving 465 citations

Peers

Megha Bajaj
PB Tracy United States
M.P.J. van Goor Netherlands
Michelle Sonneveld Netherlands
Callum N. Watson United Kingdom
MR Barnard United States
Gayle Teramura United States
PB Tracy United States
Megha Bajaj
Citations per year, relative to Megha Bajaj Megha Bajaj (= 1×) peers PB Tracy

Countries citing papers authored by Megha Bajaj

Since Specialization
Citations

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

Fields of papers citing papers by Megha Bajaj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Megha Bajaj

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

All Works

14 of 14 papers shown
1.
Bajaj, Megha, et al.. (2023). Retention of Knowledge and Efficacy of a Hands-on Training Session in Oxygen Therapy for COVID-19 among Healthcare Workers. Indian Journal of Critical Care Medicine. 27(2). 127–131. 1 indexed citations
2.
Saxena, Ashok Kumar, et al.. (2023). Modulation of mTORC1 and IL-6 Following Mirror Therapy and Pregabalin in Complex Regional Pain Syndrome Type 1. Pain Management. 13(1). 25–34. 2 indexed citations
4.
Saxena, Ashok Kumar, et al.. (2019). Clinical Practice of Palliative Care: Current Concepts and Future Perspectives. SHILAP Revista de lepidopterología. 55(2). 84–91. 1 indexed citations
5.
Vadivel, Kanagasabai, Yogesh Kumar, Piriya Wongkongkathep, et al.. (2016). S2′‐subsite variations between human and mouse enzymes (plasmin, factor XIa, kallikrein) elucidate inhibition differences by tissue factor pathway inhibitor ‐2 domain1‐wild‐type, Leu17Arg‐mutant and aprotinin. Journal of Thrombosis and Haemostasis. 14(12). 2509–2523. 3 indexed citations
7.
Bajaj, Megha, et al.. (2000). Tissue factor pathway inhibitor expression by human pleural mesothelial and mesothelioma cells. European Respiratory Journal. 15(6). 1069–1069. 16 indexed citations
10.
Kuppuswamy, M, et al.. (1999). Transcriptional Expression of Tissue Factor Pathway Inhibitor, Thrombomodulin and von Willebrand Factor in Normal Human Tissues. Thrombosis and Haemostasis. 82(9). 1047–1052. 66 indexed citations
11.
Steer, Sophia, M Kuppuswamy, Walter Kisiel, S Paul Bajaj, & Megha Bajaj. (1999). Synthesis and Expression of Tissue Factor Pathway Inhibitor by Serum-stimulated Fibroblasts, Vascular Smooth Muscle Cells and Cardiac Myocytes. Thrombosis and Haemostasis. 82(12). 1663–1672. 24 indexed citations
12.
Bajaj, Megha & K. R. Shivanna. (1991). Isolation of a lectin from the pollen grains ofPetunia hybrida. Acta Botanica Neerlandica. 40(2). 125–132. 1 indexed citations
13.
Bajaj, Megha, M Kuppuswamy, Hidekazu Saito, S G Spitzer, & S Paul Bajaj. (1990). Cultured normal human hepatocytes do not synthesize lipoprotein-associated coagulation inhibitor: evidence that endothelium is the principal site of its synthesis.. Proceedings of the National Academy of Sciences. 87(22). 8869–8873. 217 indexed citations
14.
Bajaj, Megha, Soumendra Rana, Robert B. Wysolmerski, & S Paul Bajaj. (1987). Inhibitor of the factor VIIa-tissue factor complex is reduced in patients with disseminated intravascular coagulation but not in patients with severe hepatocellular disease.. Journal of Clinical Investigation. 79(6). 1874–1878. 71 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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