Lalit Kumar

10.3k citations
432 papers · 6.8k indexed · 1 hit paper · h-index 42

Impact in

Papers in

    • Advanced Drug Delivery Systems 36
    • Drug Solubulity and Delivery Systems 29
    • Advancements in Transdermal Drug Delivery 28
    • Multiple Myeloma Research and Treatments 26

Lalit Kumar

393 papers receiving 6.6k citations

Hit Papers

3D Printing as a Promising Tool in Personalized Medicine 2021 · 277 citations
277202120262022202450100150200250

Peers

Lalit Kumar
Comparison fields: 5 of 199
  • Pharmaceutical Science 803
  • Cancer Research 685
  • Hematology 476
  • Genetics 323
  • Oncology 727
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Lalit Kumar relative to Ben Wang China Ben Wang's profile →
Citations per field
00.5×4.8×
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Citations per year

Countries citing papers authored by Lalit Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Lalit Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lalit Kumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lalit Kumar Line = papers co-authored together Lalit Kumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 432 papers — load more, or switch the sort, to bring in the rest.

#Work
1
3D Printing as a Promising Tool in Personalized Medicine
Hit paper breakdown →
2021277
2 2019214
3 2016159
4 2010119
5 2018116
6 2010104
7 2015103
8 2022102
9 199995
10 201695
11 201489
12 197588
13 202387
14 201886
15 201981
16 201676
17 201573
18 201872
19 201870
20 200969

About Lalit Kumar

Lalit Kumar is a scholar working on Pharmaceutical Science, Hematology, Aging, Genetics and Analytical Chemistry, having authored 432 papers that have together received 6.8k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (44 papers), Advanced Drug Delivery Systems (36 papers), Analytical Methods in Pharmaceuticals (32 papers), Drug Solubulity and Delivery Systems (29 papers), Chronic Lymphocytic Leukemia Research (29 papers), Advancements in Transdermal Drug Delivery (28 papers), Multiple Myeloma Research and Treatments (26 papers) and Viral-associated cancers and disorders (23 papers). The work is most often cited by research in Pharmaceutical Science (803 citations), Cancer Research (685 citations), Hematology (476 citations), Genetics (323 citations) and Oncology (727 citations). Lalit Kumar has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Ruchi Verma, Shubhrata Gupta, Shivam Prakash Gautam, Rupesh Kalidas Shirodkar, Shamsuzzama Shamsuzzama, Salwa, Aamir Nazir, Rizwanul Haque, Atul Sharma and Ngawang Chhogyel. Their work appears in journals such as Journal of Clinical Oncology, Annals of Hematology, Journal of Drug Delivery Science and Technology, European Journal of Medicinal Chemistry and Journal of Pharmaceutical Innovation.

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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