J.J. Nadkarni

479 citations
17 papers · 384 indexed · h-index 9
Topics
Chronic Lymphocytic Leukemia Research (5 papers)Lymphoma Diagnosis and Treatment (4 papers)Immune Cell Function and Interaction (3 papers)
Partner nations
IndiaSwedenKenya

In The Last Decade

J.J. Nadkarni

17 papers receiving 344 citations

Peers

J.J. Nadkarni
Comparison fields: 5 of 48
  • Oncology 197
  • Immunology 136
  • Epidemiology 96
  • Pathology and Forensic Medicine 94
  • Infectious Diseases 86
Replace J. S. Nadkarni with:
J. S. Nadkarni India
Turner A. Wood United States
George Klein Sweden
Albrecht Werner Germany
Lindsey M. Hutt United States
G Clements United Kingdom
G Henle Sweden
Anja M. Mehl United Kingdom
Jeffrey A. Schrager United States
Maria Andersson‐Anvret Sweden
J.J. Nadkarni relative to J. S. Nadkarni India J. S. Nadkarni's profile →
Citations per field
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J. S. Nadkarni · 1×
Citations per year

Countries citing papers authored by J.J. Nadkarni

Since Specialization
Citations

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

Fields of papers citing papers by J.J. Nadkarni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J.J. Nadkarni

This figure shows the co-authorship network connecting the top 25 collaborators of J.J. Nadkarni. A scholar is included among the top collaborators of J.J. Nadkarni 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 J.J. Nadkarni. J.J. Nadkarni 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
#WorkIndexed citations
1 2
2 1
3 10
4 12
5 15
6
IL-12 and IL-2 potentiate the in vitro tumor-specific activity of peripheral blood cells from cervical cancer patients.
7
7 17
8
Tumor cytotoxicity and production of interleukin-1 and tumor necrosis factor from blood monocytes of cervical carcinoma patients.
1
9 4
10 25
11 3
12 6
13 4
14
Synthesis of immunoglobulins by biopsied tissues and cell lines from Burkitt's lymphoma.
29
15 36
16 148
17 64

About J.J. Nadkarni

J.J. Nadkarni is a scholar working on Genetics, Immunology and Pathology and Forensic Medicine, having authored 17 papers that have together received 384 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (5 papers), Lymphoma Diagnosis and Treatment (4 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Oncology (197 citations), Immunology (136 citations) and Pathology and Forensic Medicine (94 citations). J.J. Nadkarni has collaborated with scholars based in India, Sweden and Kenya. Frequent co-authors include J. S. Nadkarni, Peter Clifford, E. Klein, George Klein, Werner Henle, Gertrude Henle, Gary R. Pearson, Kikkeri N. Naresh, Hans Wigzell and George Klein. Their work appears in journals such as The Lancet, The Journal of Experimental Medicine and International Journal of Cancer.

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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