Pushkaraj J. Lad

26 total papers · 527 total citations
23 papers, 440 citations indexed

About

Pushkaraj J. Lad is a scholar working on Molecular Biology, Cell Biology and Surgery. According to data from OpenAlex, Pushkaraj J. Lad has authored 23 papers receiving a total of 440 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 6 papers in Cell Biology and 5 papers in Surgery. Recurrent topics in Pushkaraj J. Lad's work include Pancreatic function and diabetes (4 papers), Enzyme function and inhibition (4 papers) and Hemoglobin structure and function (3 papers). Pushkaraj J. Lad is often cited by papers focused on Pancreatic function and diabetes (4 papers), Enzyme function and inhibition (4 papers) and Hemoglobin structure and function (3 papers). Pushkaraj J. Lad collaborates with scholars based in United States, Spain and Belgium. Pushkaraj J. Lad's co-authors include Arnold A. White, Hyam L. Leffert, W. Thomas Shier, H. Skelly, Katherine S. Koch, Max Fehlmann, Bernard de Hemptinne, Uma Sinha, William J. Shoemaker and John W. Brown and has published in prestigious journals such as Journal of Biological Chemistry, Applied and Environmental Microbiology and Analytical Biochemistry.

In The Last Decade

Pushkaraj J. Lad

23 papers receiving 413 citations

Author Peers

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

Author						Papers	Cites
Pushkaraj J. Lad	240	105	62	50	47	23	440
Tomoyoshi Koyanagi	352 1.5×	48 0.5×	31 0.5×	26 0.5×	44 0.9×	20	479
R. K. Banerjee	218 0.9×	71 0.7×	44 0.7×	43 0.9×	15 0.3×	22	423
Xia Chen	194 0.8×	69 0.7×	70 1.1×	19 0.4×	20 0.4×	21	438
M. S. Moruzzi	275 1.1×	35 0.3×	23 0.4×	93 1.9×	41 0.9×	24	391
I. A. Gamaley	215 0.9×	82 0.8×	38 0.6×	29 0.6×	20 0.4×	20	476
M D Lister	352 1.5×	85 0.8×	60 1.0×	80 1.6×	18 0.4×	14	482
Mitsuyoshi Nakashima	90 0.4×	139 1.3×	88 1.4×	35 0.7×	17 0.4×	22	486
Jose C. Gan	218 0.9×	87 0.8×	110 1.8×	40 0.8×	16 0.3×	33	482
Anne Stoffyn	359 1.5×	72 0.7×	44 0.7×	30 0.6×	18 0.4×	17	464
C. Bhuvaneswaran	230 1.0×	215 2.0×	80 1.3×	33 0.7×	20 0.4×	32	476

Countries citing papers authored by Pushkaraj J. Lad

Since Specialization

Citations

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

Fields of papers citing papers by Pushkaraj J. Lad

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pushkaraj J. Lad

This figure shows the co-authorship network connecting the top 25 collaborators of Pushkaraj J. Lad. A scholar is included among the top collaborators of Pushkaraj J. Lad 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 Pushkaraj J. Lad. Pushkaraj J. Lad 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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