Shilpa Mankikar

560 total citations
9 papers, 151 citations indexed

About

Shilpa Mankikar is a scholar working on Epidemiology, Immunology and Infectious Diseases. According to data from OpenAlex, Shilpa Mankikar has authored 9 papers receiving a total of 151 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Epidemiology, 4 papers in Immunology and 2 papers in Infectious Diseases. Recurrent topics in Shilpa Mankikar's work include Viral gastroenteritis research and epidemiology (2 papers), Inflammation biomarkers and pathways (2 papers) and Immune cells in cancer (2 papers). Shilpa Mankikar is often cited by papers focused on Viral gastroenteritis research and epidemiology (2 papers), Inflammation biomarkers and pathways (2 papers) and Immune cells in cancer (2 papers). Shilpa Mankikar collaborates with scholars based in Canada and United States. Shilpa Mankikar's co-authors include Qingrong Yan, Weifeng Liu, M. S. Srinivasan, Susan Wong, Steven C. Almo, Sarah C. Garrett-Thomson, Vangipuram S. Rangan, Shrikant Deshpande, Alan J. Korman and J.B. Bonanno and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Journal of Clinical Microbiology.

In The Last Decade

Shilpa Mankikar

7 papers receiving 145 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Shilpa Mankikar Canada	3	105	78	30	22	15	9	151
Natalie J. Neubert Switzerland	5	114 1.1×	151 1.9×	56 1.9×	15 0.7×	14 0.9×	6	224
Mathieu Bonmort France	8	74 0.7×	236 3.0×	50 1.7×	12 0.5×	11 0.7×	10	290
Alfie T. Baker United Kingdom	8	118 1.1×	214 2.7×	63 2.1×	18 0.8×	11 0.7×	10	302
Christine M. Minnar United States	6	96 0.9×	119 1.5×	49 1.6×	10 0.5×	17 1.1×	14	195
L. Resano Spain	3	110 1.0×	117 1.5×	40 1.3×	12 0.5×	15 1.0×	5	158
Siham Farhane France	6	105 1.0×	70 0.9×	25 0.8×	18 0.8×	20 1.3×	7	162
Eleanor Clancy‐Thompson United States	8	145 1.4×	193 2.5×	59 2.0×	14 0.6×	7 0.5×	11	235
Rachel L. Davis United States	3	123 1.2×	140 1.8×	28 0.9×	10 0.5×	10 0.7×	5	197
Simone Ostrouska Australia	3	75 0.7×	88 1.1×	48 1.6×	13 0.6×	9 0.6×	5	139
Charles Martinez United States	5	71 0.7×	31 0.4×	38 1.3×	8 0.4×	6 0.4×	12	140

Countries citing papers authored by Shilpa Mankikar

Since Specialization

Citations

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

Fields of papers citing papers by Shilpa Mankikar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shilpa Mankikar

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Jahchan, Nadine S., Erin Mayes, Shilpa Mankikar, et al.. (2021). 859 Tuning the tumor microenvironment by reprogramming TREM1+ myeloid cells to unleash anti-tumor immunity in solid tumors. SHILAP Revista de lepidopterología. A900–A900. 1 indexed citations

2.

Mayes, Erin, Mikhail Binnewies, Pamela Canaday, et al.. (2021). Abstract P104: Therapeutic targeting of TREM1 with PY159 promotes myeloid cell reprogramming and unleashes anti-tumor immunity. Molecular Cancer Therapeutics. 20(12_Supplement). P104–P104. 1 indexed citations

3.

Ramagopal, U.A., Weifeng Liu, Sarah C. Garrett-Thomson, et al.. (2017). Structural basis for cancer immunotherapy by the first-in-class checkpoint inhibitor ipilimumab. Proceedings of the National Academy of Sciences. 114(21). E4223–E4232. 133 indexed citations

4.

Mankikar, Shilpa, et al.. (2008). Hepatitis B surveillance: 4-year survey of staff in a National Blood Transfusion Service. Clinical & Laboratory Haematology. 4(1). 13–16.

5.

Mankikar, Shilpa, et al.. (1986). Retroviruses and Blood Transfusion Workshop. Vox Sanguinis. 51(1). 75–77. 3 indexed citations

6.

Mankikar, Shilpa, et al.. (1983). Trial of a combined test for the detection of HBsAg and anti‐HBc. Transfusion. 23(6). 523–525. 2 indexed citations

7.

Mankikar, Shilpa, P J Middleton, & M Petrić. (1979). Counterimmunoelectrophoresis assay for detection of adenovirus antigen. Journal of Clinical Microbiology. 10(2). 253–255. 7 indexed citations

8.

Petrić, M, P J Middleton, & Shilpa Mankikar. (1979). Detection of adenovirus antibody by counterimmunoelectrophoresis. Journal of Clinical Microbiology. 10(2). 256–258. 2 indexed citations

9.

Mankikar, Shilpa, M Petrić, & P J Middleton. (1976). Indirect microhemagglutination test for varicella–zoster antibody determination. Canadian Journal of Microbiology. 22(9). 1245–1251. 2 indexed citations

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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