S Paul Bajaj

4.3k citations
95 papers · 3.6k indexed · h-index 38
Topics
Blood Coagulation and Thrombosis Mechanisms (62 papers)Hemophilia Treatment and Research (50 papers)Coagulation, Bradykinin, Polyphosphates, and Angioedema (43 papers)

In The Last Decade

S Paul Bajaj

95 papers receiving 3.4k citations

Peers

S Paul Bajaj
Comparison fields: 5 of 119
  • Hematology 2.4k
  • Genetics 1.1k
  • Molecular Biology 756
  • Pulmonary and Respiratory Medicine 495
  • Cancer Research 291
Replace Peter N. Walsh with:
Peter N. Walsh United States
Arne Slungaard United States
Gerry A. F. Nicolaes Netherlands
José W.P. Govers‐Riemslag Netherlands
Alan R. Stafford Canada
N. Heimburger Germany
Thomas Girard United States
Olivier D. Christophe France
B Furie United States
BC Furie United States
S Paul Bajaj relative to Peter N. Walsh United States Peter N. Walsh's profile →
Citations per field
00.5×1.7×
Peter N. Walsh · 1×
Citations per year

Countries citing papers authored by S Paul Bajaj

Since Specialization
Citations

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

Fields of papers citing papers by S Paul Bajaj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S Paul Bajaj

This figure shows the co-authorship network connecting the top 25 collaborators of S Paul Bajaj. A scholar is included among the top collaborators of S Paul 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 S Paul Bajaj. S Paul Bajaj 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
#WorkIndexed citations
1 3
2 24
3 34
4 49
5 9
6 28
7 35
8 40
9 22
10 1
11
Functional linkage between the Na+ site, substrate site, and the Ca2+ site in the protease domain of human factor IXa
2
12 45
13 6
14 16
15 39
16 70
17 51
18 7
19
A PCR-based method for site-specific domain replacement that does not require restriction recognition sequences.
24
20 36

About S Paul Bajaj

S Paul Bajaj is a scholar working on Hematology, Genetics and Immunology and Allergy, having authored 95 papers that have together received 3.6k indexed citations. Recurring topics across this work include Blood Coagulation and Thrombosis Mechanisms (62 papers), Hemophilia Treatment and Research (50 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (43 papers). The work is most often cited by research in Hematology (2.4k citations), Genetics (1.1k citations) and Internal Medicine (243 citations). S Paul Bajaj has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Samuel I. Rapaport, Madhu S. Bajaj, Megha Bajaj, M Kuppuswamy, Amy E. Schmidt, S G Spitzer, Jens J. Birktoft, Stephen Brown, Christina Prodanos and Degang Zhong. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

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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