H C Vaidya

513 total citations
17 papers, 393 citations indexed

About

H C Vaidya is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Oncology. According to data from OpenAlex, H C Vaidya has authored 17 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Molecular Biology and 4 papers in Oncology. Recurrent topics in H C Vaidya's work include Monoclonal and Polyclonal Antibodies Research (8 papers), Protein purification and stability (4 papers) and Biosimilars and Bioanalytical Methods (3 papers). H C Vaidya is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (8 papers), Protein purification and stability (4 papers) and Biosimilars and Bioanalytical Methods (3 papers). H C Vaidya collaborates with scholars based in United States and India. H C Vaidya's co-authors include Jack H. Ladenson, D N Dietzler, Barbara Beatty, Y Maynard, Yvonne Landt, Moon H. Nahm, William J. Catàlona, Sharon Porter, Ralph V. Clayman and Bryan A. Wolf and has published in prestigious journals such as Biochemistry, Clinical Chemistry and Clinica Chimica Acta.

In The Last Decade

H C Vaidya

17 papers receiving 372 citations

Peers

H C Vaidya
Comparison fields: 5 of 77
  • Radiology, Nuclear Medicine and Imaging 200
  • Molecular Biology 137
  • Cardiology and Cardiovascular Medicine 128
  • Immunology 44
  • Surgery 37
Replace Claudia Santini with:
Claudia Santini Italy
Darby Thompson Canada
S Bergstedt-Lindqvist Sweden
Irene Portig Germany
Thomas W. Wells United States
Satoru Sekiya Japan
Jiahui Li China
Sheldon S. Leung United States
Ya‐Ju Hsieh Taiwan
J. Thomas Blake United States
Claudia Santini Italy View profile →
Citations per field, relative to H C Vaidya
H C Vaidya · 1×
Citations per year, relative to H C Vaidya
H C Vaidya · 1×

Countries citing papers authored by H C Vaidya

Since Specialization
Citations

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

Fields of papers citing papers by H C Vaidya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H C Vaidya. 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 H C Vaidya. The network helps show where H C Vaidya may publish in the future.

Co-authorship network of co-authors of H C Vaidya

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

All Works

17 of 17 papers shown
# Work Indexed citations
1 38
2 3
3 47
4 26
5
Eliminating interference from heterophilic antibodies in a two-site immunoassay for creatine kinase MB by using F(ab')2 conjugate and polyclonal mouse IgG.
51
6 1
7 6
8 28
9
Semi-automated direct colorimetric measurement of creatine kinase isoenzyme MB activity after extraction from serum by use of a CK-MB-specific monoclonal antibody.
10
10 8
11 9
12 7
13 65
14 71
15 7
16 14
17 2

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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2026