Megha Bajaj

27 total papers · 590 total citations
14 papers, 485 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 485 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), Venous Thromboembolism Diagnosis and Management (2 papers) and Hemophilia Treatment and Research (2 papers). Megha Bajaj is often cited by papers focused on Blood Coagulation and Thrombosis Mechanisms (5 papers), Venous Thromboembolism Diagnosis and Management (2 papers) and Hemophilia Treatment and Research (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, Soumendra Rana, Robert B. Wysolmerski, 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

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Megha Bajaj 316 86 86 72 68 14 485
W E Hathaway 266 0.8× 72 0.8× 78 0.9× 54 0.8× 37 0.5× 14 496
Suzanne Beaudin 181 0.6× 47 0.5× 59 0.7× 109 1.5× 59 0.9× 17 470
Aline Vandenbulcke 238 0.8× 117 1.4× 52 0.6× 114 1.6× 49 0.7× 20 523
Mikhail D. Smirnov 332 1.1× 83 1.0× 50 0.6× 38 0.5× 80 1.2× 16 493
M.P.M. De Maat 201 0.6× 32 0.4× 109 1.3× 88 1.2× 95 1.4× 16 426
Shauna L. French 300 0.9× 81 0.9× 47 0.5× 28 0.4× 113 1.7× 13 486
Laura D. Healy 216 0.7× 95 1.1× 45 0.5× 36 0.5× 62 0.9× 15 439
S T Fan 202 0.6× 41 0.5× 48 0.6× 64 0.9× 45 0.7× 11 546
Sanne L. N. Brouns 193 0.6× 31 0.4× 70 0.8× 34 0.5× 101 1.5× 21 407
Eveline A. M. Bouwens 313 1.0× 86 1.0× 27 0.3× 36 0.5× 66 1.0× 11 470

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

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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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